К содержанию
Олег НагорныйRecSys2026

RecSys 2026Отдельный разрезобновлено 2026-10-16

Воркшопы, туториалы и кейноуты

Позиции конференции, которых нет в основном корпусе путеводителя: 15 воркшопов, 6 туториалов и 2 кейноута. У каждой позиции — организаторы, дата, официальная ссылка, а где воркшоп опубликовал список принятых работ — сами работы и организации их авторов.

позиций в разрезе
23
работ воркшопов
136
с подтверждённой организацией
109/136

Воркшопы 15

  1. 28 сентября · утро

    OARS 26Online and Adaptive Recommender System

    Minneapolis, Minnesota, USA (Marriott City Center, Downtown)

    Организаторы
    • Xiquan CuiWorkday
    • Derek Zhiyuan ChengGoogle DeepMind
    • Fei LiuEmory University
    • Tao YeLyft
    • Julian McAuleyUniversity of California San Diego
    • Stephen GuoIndeed

    Сайт ↗DOI ↗

    19 работ · с организацией 19

    Список: Расписание на сайте воркшопа (Spotlight/Poster), у каждой работы ссылка на PDF. Источник ↗

    1. Rethinking ANN-based Retrieval: Multifaceted Learnable Index for Large-scale Recommendation SystemJiang Zhang, Yubo Wang, Wei Chang, Lu Han, Xingying Cheng, Feng Zhang, Min Li, Songhao Jiang, Wei Zheng, Harry Tran, Zhen Wang, Lei Chen, Yueming Wang, Benyu Zhang, Xiangjun Fan, Bi Xue and Qifan Wang · Spotlight 1
      Meta Platforms, Inc.«Meta Platforms, Inc.» — PDF p.1, author block (before Abstract) ↗
    2. Real-Time Hard Negative Sampling via LLM-based Clustering for Large-Scale Two-Tower RetrievalZihao Zhao, Ivan Ji, Liuyi Hu, Lei Huang, Qunshu Zhang, Xiangjun Fan and Aameek Singh · Spotlight 2
      Meta Platforms, Inc.«Meta» — PDF p.1, author block (before Abstract) ↗
      Есть разбор в основном каталоге →
    3. Lightweight Ranking Heads: Accelerating Multi-Task Experimentation in Production Recommender SystemsSanjay Surendranath Girija, Aniruddh Nath, Li Wei, Yanhao Jiang, Shawn Andrews, Lukasz Heldt, Yi Wu, Aditya Mahajan and Mohit Sharma · Spotlight 3
      Google«Google LLC» — PDF p.1, author block (before Abstract) ↗
      Есть разбор в основном каталоге →
    4. Billion-Scale Thumbnail Optimization for Uncurated Short-Form Videos via Multi-Armed BanditsLing Liu, Ying Han, Fabio Soldo, Vu Nguyen, Danio Wang, Liz Kidd, Yongle Cao, Theodore Rose, Su-Lin Wu and Romer Rosales · Spotlight 4
      Google«Google» — PDF p.1, author block (before Abstract) ↗
    5. Addressing Intent-Impression Misalignment in Marketplaces via Query-Level Multinomial BlendingBeatrice Musizza and Thorsten Krause · Spotlight 5
      Vinted«Vinted» — PDF p.1, author block (before Abstract) ↗
    6. A Benchmark Suite for Online Learning of Non-Stationary User Preferences in Recommender SystemsTonmoy Hasan, Wenyu Gao and Razvan Bunescu · Spotlight 6
      UNC Charlotte«UNC Charlotte» — PDF p.1, author block (before Abstract) ↗
    7. Quantifying the Cost of DPP Diversity in Shopify's Mobile Commerce FeedJeff Kahn and Chen Karako · Spotlight 7
      Shopify«Shopify, Inc.» — PDF p.1, author block (before Abstract) ↗
    8. Next Best Action: Causal Constrained Offline RL for Business Action TargetingSurya Ramachandiran, Yiming Li, Juan Mancilla-Caceres, Tao Ye and Jun Liu · Spotlight 8
      Lyft«Lyft, Inc.» — PDF p.1, author block (before Abstract) ↗
    9. Decoding ML Decision: An Agentic Reasoning Framework for Large-Scale Ranking SystemLongfei Yun, Yihan Wu, Haoran Liu, Xiaoxuan Liu, Ziyun Xu, Yi Wang, Yang Xia, Pengfei Wang, Mingze Gao, Yunxiang Wang, Changfan Chen, Fei Liu, Akos Lada, Wenjie Fu, Hong Yan and Junfeng Pan · Spotlight 9
      Meta Platforms, Inc.«Meta» — PDF p.1, author block (before Abstract) ↗
    10. Beyond Co-purchase Relation: Evolution of Complementary Recommendations at AllegroAleksandra Osowska-Kurczab, Klaudia Nazarko, Eliška Kosturová, Lidia Wojciechowska and Michał Bień · Spotlight 10
      Allegro«Allegro.com» — PDF p.1, author block (before Abstract) ↗
      NVIDIA«NVIDIA» — PDF p.1, author block (before Abstract) ↗
    11. CORAL: An LLM-Native Harness for Production Recommender SystemsMuhammad Rafay Azhar, Yuhang Zhou, Gilbert Jiang, Yuchen Wang, Rahul Sharma, Matthew DeSousa, Jiayi Liu, Xin Guo, Lizhu Zhang and Xiangjun Fan · Poster 1
      Meta Platforms, Inc.«Meta Platforms, Inc.» — PDF p.1, author block (before Abstract) ↗
    12. MoFA: LLM-Driven Reasoning for Constraint-Aware Feature Selection in Industrial ML SystemsYuhang Zhou, Zhuokai Zhao, Ke Li, Spilios Evmorfos, Gökalp Demirci, Mingyi Wang, Qiao Liu, Qifei Wang, Serena Li, Weiwei Li, Tingting Wang, Mingze Gao, Gedi Zhou, Abhishek Kumar, Xiangjun Fan, Lizhu Zhang and Jiayi Liu · Poster 2
      Meta Platforms, Inc.«Meta Platforms, Inc.» — PDF p.1, author block (before Abstract) ↗
    13. Two-Tier Visual Triggering for Adaptive Shopping Recommendations at PinterestKshiteesh Hegde, Ai Zhang, Kayoung Lee, Weiran Li, Sai Xiao and Janet Ryu · Poster 3
      Pinterest«Pinterest, Inc.» — PDF p.1, author block (before Abstract) ↗
    14. MISO: Model-Internal-State-Guided Optimization for Ranking ModelsYongzhe Zhang, Xiaoyu Deng, Anish Khazane, Yi Meng, Yijia Liu, Santanu Kolay, Hao Yan, Bilal Fadlallah, Sheng Luo, Marcio Porto, Yifan He, Mengying Sun, Xiaoya Wang, Emmy Wang, Kangfu Zheng, Xingyuan Wang, Gursharan Singh, Prabhakar Goyal, Zhuo Li, Huiping Yao, Swathi Hrishikesh, Jing Chen, Dennis Choi, Steven Liu, Lexi Luo, Keyi Chen and Alireza Vahdatpour · Poster 4
      Meta Platforms, Inc.«Meta Inc» — PDF p.1, author block (before Abstract) ↗
    15. ReAlign: Reward-Guided Preference Alignment for Generative Re-RankingYachen Yan and Liubo Li · Poster 5
      Intuit Credit Karma«Intuit Credit Karma» — PDF p.1, author block (before Abstract) ↗
    16. Designing for the Next Click: Bandits for Real-Time Page LayoutBhavtosh Rath, Harshith Narasimhamurthy, Bob Eisinger, Cole Stiegler, Adnan Awow and Amit Pande · Poster 6
      Target Inc.«Target Corporation» — PDF p.1, author block (before Abstract) ↗
    17. Language Models for Page-Level Layout Decisions in E-commerce SearchVarun Joshi, Eva Song and Chengxiang Zhai · Poster 7
      Walmart Global Tech«Walmart Global Tech» — PDF p.1, author block (before Abstract) ↗
      University of Illinois Urbana-Champaign«University of Illinois at Urbana-Champaign» — PDF p.1, author block (before Abstract) ↗
    18. BAFF: Bid-Aware Filter Family for Mitigating Training Data Interference in RTB A/B TestsJeonglyul Oh, Ikkyu Choi, Inseop Youn and Youngjae Kim · Poster 8
      Dable Inc.«Dable Inc.» — PDF p.1, author block (before Abstract) ↗
    19. Attribute-Conditioned Multimodal Slot Factorization for Controllable Fashion RetrievalNajmeh Forouzandehmehr, Topojoy Biswas, Evren Korpeoglu and Kannan Achan · Poster 9
      Walmart Global Tech«Walmart Global Tech» — PDF p.1, author block (before Abstract) ↗

  2. 28 сентября · утро

    CARS 26Workshop on Context-Aware Recommender Systems

    Minneapolis, Minnesota, USA (Marriott City Center, Downtown)

    Организаторы
    • Konstantin BaumanTemple University
    • Bamshad MobasherDePaul University
    • Alexander TuzhilinNew York University
    • Moshe UngerTel Aviv University

    Сайт ↗DOI ↗

    6 работ · с организацией 6

    Список: Раздел «Accepted Papers» + PDF из расписания. Источник ↗

    1. Textual User Taste: Natural-Language User Context for Foundation-Model Recommender System at ScaleGhazal Fazelnia, Paul Gigioli, Eliza Klyce, Sharon Zheng, Katie Zelvin, Ye Myat Thein, Anurag Deshpande, Seda Davtyan, Kate Remeika, Maya Hristakeva, Erik Franco, Karen Banzon, Peng Ge, Jacqueline Wood, Nandini Singh, David Murgatroyd, Mounia Lalmas, Yves Raimond and Andreas Damianou · Accepted paper 1
      Spotify«Spotify, USA, UK,» — PDF p.1, author block (before Abstract) ↗
    2. Deciding When to Rely on Visual Information: Gated Multimodal Fusion in Sequential RecommendationNatalija Glisovic, Danica Kragic and Martin Tegner · Accepted paper 2
      IKEA Retail (Ingka Group)«IKEA Retail (Ingka Group) and KTH» — PDF p.1, author block (before Abstract) ↗
      KTH Royal Institute of Technology«KTH Royal Institute of Technology» — PDF p.1, author block (before Abstract) ↗
    3. A Systematic Benchmark of Explainable Methods for Temporal Attribution in Sequential Recommendation SystemsAkash Pandey, Kanisha Shah, Addrish Roy, Hongyangyang Shi, Dwipam Katariya, Amanda Ding, Kalanand Mishra and Pranab Mohanty · Accepted paper 3
      Capital One«Capital One, AI Foundations» — PDF p.1, author block (before Abstract) ↗
    4. Query- and Candidate-Aware Long User Sequence Modeling for Sponsored Product Ranking in SearchDongyue Xie · Accepted paper 4
      Wayfair«Wayfair LLC, USA» — PDF p.1, author block (before Abstract) ↗
    5. SAGA: Structure-Attended Generative Action Foundation Model that encodes Multi-Surface User Action SequencesTsz Fung Pang, Po Jen Chen, Nimish Ronghe, Farhad Farahani and Bo Zhang · Accepted paper 5
      PayPal«PayPal AI» — PDF p.1, author block (before Abstract) ↗
    6. Seeing the Context: Enhancing Recommendations Systems with Image-Derived Contextual SignalsTal Cordova, Moshe Unger and Tomer Geva · Accepted paper 6
      Tel Aviv University«Coller School of Management, Tel Aviv University, Israel» — PDF p.1, author block (before Abstract) ↗

  3. 28 сентября · утро

    DaQuaMRec 26Second International Workshop on Data Quality-Aware Multimodal Recommendation (DaQuaMRec)

    Minneapolis, Minnesota, USA (Marriott City Center, Downtown)

    Организаторы
    • Claudio PomoPolitecnico di Bari
    • Daniele MalitestaLUISS Guido Carli University
    • Alberto Carlo Maria MancinoPolitecnico di Bari
    • Marta MoscatiAlbatross AIJohannes Kepler University Linz
    • Dietmar JannachUniversity of Klagenfurt
    • Yubin KimVody
    • Aixin SunNanyang Technological University

    Сайт ↗DOI ↗

    5 работ · с организацией 5

    Список: Страница Accepted Contributions, PDF на Google Drive. Источник ↗

    1. VLM-Based Continuous Training-Data Moderation for Multimodal Notification RecommendationJiachen Huang, Vishwakarma Singh, Lei Wang, Darien Boyd, and Dimitra Tsiaousi
      Pinterest«Pinterest, San Francisco, CA, USA» — PDF p.1, author block (before Abstract) ↗
    2. When Fusion Forgets: Diagnosing and Repairing Branch-Preservation Failures in Multimodal RecommendationSmriti Jha, Ziqi Zhao, Putian Wang, Madison Teague, Allyne Zhang, and David Mortensen
      Carnegie Mellon University«Carnegie Mellon University, Pittsburgh, PA, United States» — PDF p.1, author block (before Abstract) ↗
    3. LUMIR: Decoupled Multimodal Representation Learning from Heterogeneous Data for Next-POI RecommendationZehui Wang, Wolfram Höpken and Dietmar Jannach
      University of Applied Sciences Ravensburg-Weingarten«University of Applied Sciences Ravensburg-Weingarten, Doggenriedstrasse, Weingarten, Weingarten, 88250, Germany» — PDF p.1, author block (before Abstract) ↗
      University of Klagenfurt«University of Klagenfurt, Universitätsstraße 65–67, Klagenfurt am Wörthersee, 9020, Austria» — PDF p.1, author block (before Abstract) ↗
    4. Beyond Textual Semantics: CLIP-Aligned Multimodal Representations for LLM-Based RecommendationKavach Dheer
      University of Galway«School of Computer Science, University of Galway, Galway, Ireland» — PDF p.1, author block (before Abstract) ↗
    5. SwapRec: Warming Up Cold Items Through Training-Time Similar-Content SwapsMarta Moscati, Jan Malte Lichtenberg, Davide Abbattista, Antonio De Candia, Laura Boggia, and Matteo Ruffini
      Albatross AI«Albatross AI» — PDF p.1, author block (before Abstract) ↗
      Johannes Kepler University Linz«Johannes Kepler University Linz, Linz, Austria» — PDF p.1, author block (before Abstract) ↗

  4. 28 сентября · утро · St Croix 1

    IntRS 2613th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS’26)

    Minneapolis, Minnesota, USA (Marriott City Center, Downtown)

    Организаторы
    • Peter BrusilovskyUniversity of Pittsburgh
    • Marco de GemmisUniversity of Bari Aldo Moro
    • Alexander FelfernigGraz University of Technology
    • Pasquale LopsUniversity of Bari Aldo Moro
    • Marco PolignanoUniversity of Bari Aldo Moro
    • Giovanni SemeraroUniversity of Bari Aldo Moro
    • Martijn WillemsenEindhoven University of Technology

    Сайт ↗CEUR-WS ↗DOI ↗

    7 работ · с организацией 7

    Список: Оглавление CEUR-WS Vol-4261 (7 работ из 9 поданных). Источник ↗

    1. Why This, Not That? Mining User Profiles for Pair-wise CounterfactualsMeysam Varasteh, Veronika Bogina, Noam Koenigstein, Robin Burke
      University of Colorado Boulder«Department of Computer Science, University of Colorado Boulder, Boulder, CO 80309, USA» — PDF p.1, author block (before Abstract) ↗
      Tel Aviv University«Tel Aviv University, Tel Aviv, Israel» — PDF p.1, author block (before Abstract) ↗
    2. Structured vs. LLM-Realized Recommender Explanations Under Shared Recommendation Evidence: A Controlled Human-Centered ComparisonSidra Naveed, Abdullah Abdullah, Gunnar Stevens
      University of Siegen«University of Siegen, Adolf-Reichwein-Straße 2, 57068 Siegen, Germany» — PDF p.1, author block (before Abstract) ↗
    3. Pulling the Right Levers: Steerable Collaborative Autoencoders with Sparse AutoencodersMartin Spišák, Vojtěch Vančura, Rodrigo Alve, Petr Škoda, Ladislav PeškaВ оглавлении CEUR написано «Rodrigo Alve»; в PDF работы (стр. 1) — «Rodrigo Alves». Имя в списке оставлено как в источнике.
      TopK«TopK, San Francisco, California, United States» — PDF p.1, author block (before Abstract) ↗
      Recombee«Recombee, Prague, Czechia» — PDF p.1, author block (before Abstract) ↗
      Charles University«Faculty of Mathematics and Physics, Charles University, Prague, Czechia» — PDF p.1, author block (before Abstract) ↗
      Czech Technical University«Faculty of Information Technology, Czech Technical University in Prague, Czechia» — PDF p.1, author block (before Abstract) ↗
    4. Where Do News Recommendations Appear? A Systematic Interface Mapping of 75 European News WebsitesHanne Vandenbroucke, Annelien Smets
      imec«imec-SMIT, Vrije Universiteit Brussel, 1050 Brussels, Belgium» — PDF p.1, author block (before Abstract) ↗
      Vrije Universiteit Brussel«imec-SMIT, Vrije Universiteit Brussel, 1050 Brussels, Belgium» — PDF p.1, author block (before Abstract) ↗
    5. Goal-Oriented Navigation in Carousel-Based Recommender SystemsBehnam Rahdari, Peter Brusilovsky
      Stanford University«Stanford University, USA» — PDF p.1, author block (before Abstract) ↗
      University of Pittsburgh«University of Pittsburgh, USA» — PDF p.1, author block (before Abstract) ↗
    6. Detecting Usability Issues in Recommender Systems with Multimodal Large Language ModelsSebastian Lubos, Alexander Felfernig, Viet-Man Le, Thi Ngoc Trang Tran
      Graz University of Technology«Graz University of Technology, Graz, Austria» — PDF p.1, author block (before Abstract) ↗
    7. Why Didn't More People See It? Recommendation Transparency for ProvidersMeysam Varasteh, Robin Burke
      University of Colorado Boulder«Department of Computer Science, University of Colorado Boulder, Boulder, CO 80309, USA» — PDF p.1, author block (before Abstract) ↗

  5. 28 сентября · утро

    RecTemp 26RecTemp: Temporal Reasoning in Recommendation Systems

    Minneapolis, Minnesota, USA (Marriott City Center, Downtown)

    Организаторы
    • Adir SolomonUniversity of Haifa
    • Oren Sar ShalomLinkedIn
    • Tsvi KuflikUniversity of Haifa
    • Ido GuyBen-Gurion University of the Negev
    • Bracha ShapiraBen-Gurion University of the Negev

    Сайт ↗DOI ↗

    7 работ · с организацией 6

    Список: Раздел Accepted Papers, PDF на Google Drive; официальных трудов нет (FAQ сайта). Источник ↗

    1. DeepAffinity: Long-Term Aspect Preference Prediction in eCommerce using Small Language ModelsYotam Eshel, Guy Hadad, Guy Feigenblat, Yuri M. Brovman, Matt Gearhart and Bracha Shapira
      eBay Inc.«eBay Inc.» — PDF p.1, author block (before Abstract) ↗
      Ben-Gurion University of the Negev«Ben-Gurion University» — PDF p.1, author block (before Abstract) ↗
      DREAM group«DREAM group» — PDF p.1, author block (before Abstract) ↗
    2. SeCIN: LLM-based Semantic Compression Interest Network for Lifelong User Behavior Modeling in CTR PredictionCao Chao, Chen Sheng, Yang Zhesen, Wang Jincheng and Liu ShengPDF анонимизирован — авторы и организации скрыты
    3. Book Readership During Movie Releases: An Exploratory AnalysisSushobhan Parajuli, Vittoria Vineis, Samira Vaez Barenji and Michael Ekstrand
      Drexel University«Drexel University» — PDF p.1, author block (before Abstract) ↗
      Sapienza University of Rome«Sapienza University of Rome» — PDF p.1, author block (before Abstract) ↗
    4. Timing-Aware Repurchase Prediction for Web-Scale E-Commerce: Survival Models for Multi-Surface Grocery RecommendationAkshay Kekuda, Shreeranjani Srirangamsridharan, Ishan Bhatt, Yanan Cao, Sinduja Subramaniam, Evren Korpeoglu, Kaushiki Nag and Kannan Achan
      Walmart Global Tech«Walmart Global Tech» — PDF p.1, author block (before Abstract) ↗
      Есть разбор в основном каталоге →
    5. PURE: Propagating Pre-ranker Uncertainty as a Reasoning Signal for LLM Re-rankingArundeep Chinta, Smruthi Mukund and Jay Katukuri
      JPMorganChase«JPMorganChase» — PDF p.1, author block (before Abstract) ↗
    6. When Repeated Exposure Is Not Fatigue: Distinguishing Item Rejection from Session CessationTae-han Kim, Min-Gyu Jang, Ye-Jin Lee, Gun-Woo Kim and Sang-Min Choi
      Gyeongsang National University«Gyeongsang National University» — PDF p.1, author block (before Abstract) ↗
    7. Persona Aware Session-Based Recommendation with LLM-Enhanced Knowledge GraphsMuskan Gupta, Suraj Thapa and Jyotsana Khatri
      TCS Research«TCS Research» — PDF p.1, author block (before Abstract) ↗

  6. 28 сентября · утро

    RecTour 26The 10th Workshop on Recommenders in Tourism (RecTour) 2026

    Minneapolis, Minnesota, USA (Marriott City Center, Downtown)

    Источники расходятся: на странице ACM RecTour в блоке Morning Workshops, программа на сайте RecTour идёт с 8:30 до 12:00, но в блоке Submission Process на том же сайте написано «afternoon». Слот взят по ACM и по программе.

    Организаторы
    • Tsvi KuflikUniversity of Haifa
    • Julia NeidhardtTU Wien
    • Amit LivneBooking.com
    • Markus ZankerUniversity of KlagenfurtFree University of Bozen-Bolzano

    Сайт ↗DOI ↗

    5 работ · с организацией 0

    Список: Только программа: авторы и названия, PDF на сайте не опубликованы. Источник ↗

    1. Learning Position Embeddings for Ad CTR PredictionIoannis Partalas and John DinesPDF работы не опубликован — организации не подтверждены
    2. TravelMind: From Clickstream to Conversational Recommender via Semantic IDs, Staged Synthetic Data, and Multi-Phase AlignmentSreeram Ajay, Atharva Kinage, Abhilash Fulkar, Parag Jain, Sambit Sarangi, Piyush Kumar and Sanjay MohanPDF работы не опубликован — организации не подтверждены
    3. A Multi-Source Ensemble Approach to Candidate Generation for Alternative Vacation Rental Property RecommendationsSyed Mohammed Arshad Zaidi, Eric Rincon and Shayan HassantabarPDF работы не опубликован — организации не подтверждены
    4. Self-Supervised Multi-Image Property Visual Representation for Large-Scale Recommendation SystemsGolnaz Moallem, Saria Goudarzvand, Eric Rincon, Iman Keivanloo and Shayan HassantabarPDF работы не опубликован — организации не подтверждены
    5. Discovering MicroTravel Trends from Multimodal Social Media for Tourism RecommendationAkshita Asati, Akash Khetan, Gnan Deep Rathan K, Sharath Chandran, Saksham Raj, Sambit Sarangi, Sanjay Mohan and Piyush KumarPDF работы не опубликован — организации не подтверждены

  7. 28 сентября · после обеда

    RecSys in HR 26Sixth Workshop on Recommender Systems for Human Resources (RecSys in HR 2026)

    Minneapolis, Minnesota, USA (Marriott City Center, Downtown)

    Организаторы
    • Toine BogersIT University of Copenhagen
    • Mesut KayaJobindex A/SIT University of Copenhagen
    • Guillaume BiedGhent University
    • Joshua H. LevyIndeed
    • Jens-Joris DecorteTechWolf

    Сайт ↗DOI ↗

    11 работ · с организацией 11

    Список: Accepted papers 2026 (oral/poster), PDF на сайте; CEUR-том ещё не вышел. Источник ↗

    1. Fine-Tuning Strategy, Not Just Data: A Statistically Rigorous Audit of Gender and Stereotypical Bias in Embedding Models for HR Recommendation SystemsEkta Yadav · oral
      Randstad N.V.«Randstad N.V.» — PDF p.1, author block (before Abstract) ↗
    2. Suspenders: A Deployed Guardrail for Policy Filtering of LLM-Generated Job-Recommendation ExplanationsJasmine Qi, Danylo Dantsev and Jeff Kohls · oral
      Indeed«Indeed, Inc., Austin, TX, USA» — PDF p.1, author block (before Abstract) ↗
    3. JobHop v2: A Large-Scale Career Trajectory Dataset from Unstructured ResumesIman Johary, Guillaume Bied, Alexandru Mara and Tijl De Bie · oral
      Ghent University«AIDA-IDLab, Department of Electronics and Information Systems, Ghent University, Ghent, Belgium» — PDF p.1, author block (before Abstract) ↗
    4. Not All Matches Are Equally Valuable: An Online Experiment of Retention-Focused Recommendation in a Job-Matching PlatformTatsuya Ute, Chiaki Ichimura and Yuta Saito · oral
      Wantedly, Inc.«Wantedly, Inc., Tokyo, Japan.» — PDF p.1, author block (before Abstract) ↗
      Hanjuku-kaso Co., Ltd.«Hanjuku-kaso Co., Ltd., Tokyo, Japan.» — PDF p.1, author block (before Abstract) ↗
    5. Deep Sourcing: Agentic Multi-Strategy Search with Iterative Reflection for Talent DiscoveryJoshua H. Levy, Willy Lew Yuk Vong, Jacob Plains, Ravi Kiran Divvela, Kevin Ka’aumoana Duarte, Wenhui Liu, Manasvi Nishith Vohra and Bhushan Shitole · oral
      Indeed«Indeed.com, USA» — PDF p.1, author block (before Abstract) ↗
      Faire«Faire, USA» — PDF p.1, author block (before Abstract) ↗
    6. A Spectral Analysis of Heterogeneous Graph Recommenders for Person-Job FitHaoyi Xiu, Shuya Nagayasu and Norihiro Hizawa · poster
      Leverages Co., Ltd.«Leverages Co., Ltd., 2-24-12 Shibuya, Shibuya Scramble Square 24F/25F, Shibuya-ku, Tokyo, 150-6190, Japan» — PDF p.1, author block (before Abstract) ↗
    7. Beyond the Circle: Estimating Directional Commute Areas for On-Site Jobs using Bayesian Neural NetworksAtsushi Ide · poster
      SMS Co., Ltd.«SMS Co., Ltd., Tokyo, Japan» — PDF p.1, author block (before Abstract) ↗
    8. Single-Token Expected-Value Scoring for Cold-Start Candidate RankingQihang Wang, Jin Wei Tan, Mengyuan Shi, Mayank Sharma, Shuai Zhao, Fuxian Li, Ryan Yan, Alexander P. Kreuzer, Mohit Jain, Dheeraj Toshniwal and Manoj Seethamsetty · poster
      Indeed«Indeed, Inc.» — PDF p.1, author block (before Abstract) ↗
    9. Overpredicting on Noise: Deployment-Faithful Evaluation of Skill Extraction PipelinesAleksander Bielinski, Warre Veys and Jens-Joris Decorte · poster
      Edinburgh Napier University«Edinburgh Napier University, School of Computing, Engineering & The Built Environment» — PDF p.1, author block (before Abstract) ↗
      TechWolf«TechWolf, 9000 Gent, Belgium» — PDF p.1, author block (before Abstract) ↗
      Ghent University«Ghent University – imec, 9052 Gent, Belgium» — PDF p.1, author block (before Abstract) ↗
      imec«Ghent University – imec, 9052 Gent, Belgium» — PDF p.1, author block (before Abstract) ↗
    10. DISPERSE: Combating Congestion with Ensemble Job RecommendationCamille Pliquet, Solal Nathan, Yann De Coster, Bruno Crépon, Christophe Gaillac, Philippe Caillou and Michèle Sebag · poster
      Université Paris-Saclay«Université Paris-Saclay, CNRS, Inria, Gif-sur-Yvette, France» — PDF p.1, author block (before Abstract) ↗
      CNRS«Université Paris-Saclay, CNRS, Inria, Gif-sur-Yvette, France» — PDF p.1, author block (before Abstract) ↗
      Inria«Université Paris-Saclay, CNRS, Inria, Gif-sur-Yvette, France» — PDF p.1, author block (before Abstract) ↗
      France Travail«France Travail, France» — PDF p.1, author block (before Abstract) ↗
      ENSAE«CREST, ENSAE, Institut Polytechnique de Paris, Palaiseau, France» — PDF p.1, author block (before Abstract) ↗
      Institut Polytechnique de Paris«CREST, ENSAE, Institut Polytechnique de Paris, Palaiseau, France» — PDF p.1, author block (before Abstract) ↗
      University of Geneva«University of Geneva, GSEM, Geneva, Switzerland» — PDF p.1, author block (before Abstract) ↗
    11. When Occupation-derived Skills Don’t Help: On the Limits of Skill-Augmented Career Path PredictionEge Süalp, Elena Senger, Toine Bogers and Barbara Plank · poster
      LMU Munich«MaiNLP, Center for Information and Language Processing, LMU Munich, Germany» — PDF p.1, author block (before Abstract) ↗
      Fraunhofer Institute for Systems and Innovation Research ISI«Fraunhofer Institute for Systems and Innovation Research ISI, Germany» — PDF p.1, author block (before Abstract) ↗
      IT University of Copenhagen«IT University Copenhagen, Denmark» — PDF p.1, author block (before Abstract) ↗

  8. 28 сентября · после обеда

    FRAME 26Methodology First: Rethinking Research Assessment in RecSys (FRAME)

    Minneapolis, Minnesota, USA (Marriott City Center, Downtown)

    Организаторы
    • Paolo CremonesiPolitecnico di Milano
    • Maurizio Ferrari DacremaPolitecnico di Milano
    • Dietmar JannachUniversity of Klagenfurt
    • Arnab BhaduryGoogle
    • Nicola FerroUniversity of Padova
    • Aleksandr V. PetrovSpotify

    Сайт ↗DOI ↗

    9 работ · с организацией 8

    Список: Программа: 9 работ с PDF и треком. Источник ↗

    1. A RecSys Paper for $20: Why We Must Build, Evaluate, and Govern Autonomous Recommender Systems Research Labs (AutoRecLabs)Joeran Beel, Bela Gipp, Tobias Vente, Moritz Baumgart, Philipp Meister and Sinan Pourazari · Experimental Methodologies Track
      University of Siegen«University of Siegen, Siegen, Germany» — PDF p.1, author block (before Abstract) ↗
      Recommender-Systems.com«Recommender-Systems.com, Düsseldorf, Germany» — PDF p.1, author block (before Abstract) ↗
      University of Göttingen«University of Göttingen, Göttingen, Germany» — PDF p.1, author block (before Abstract) ↗
      University of Antwerp«University of Antwerp, Antwerp, Belgium» — PDF p.1, author block (before Abstract) ↗
    2. Tie Handling Is Part of the Evaluation Protocol: An Order-Invariance Audit for Tie-Heavy Recommender ScoresChengkun Guo, Han Chen, Yilin Zhu and Yingrui Li · Experimental Methodologies TrackБез организации: Independent Researcher, Bethlehem, Pennsylvania, USA; Independent Researcher, Washington, DC, USA; Independent Researcher, Seattle, Washington, USAВ блоке авторов нет организации
    3. Your nDCG Score May Be Correct. But the Conclusion? A Call for Stability-Aware Offline Recommender EvaluationJoeran Beel · Experimental Methodologies Track
      University of Siegen«University of Siegen, Siegen, Germany» — PDF p.1, author block (before Abstract) ↗
      Recommender-Systems.com«Recommender-Systems.com, Düsseldorf, Germany» — PDF p.1, author block (before Abstract) ↗
    4. The Forgotten Users of Recommender SystemsSam Pieters, Basil Rommens, Noah Daniels and Bart Goethals · Experimental Methodologies Track
      University of Antwerp«University of Antwerp, Antwerp, Belgium» — PDF p.1, author block (before Abstract) ↗
      Froomle«Froomle, Antwerp, Belgium» — PDF p.1, author block (before Abstract) ↗
    5. Does Diversity Actually Improve Long-term Retention? An Empirical Investigation with Failure Analysis of RL-based Diversity ControlHyun Kang and Ji-Hyeong Han · Experimental Methodologies Track
      Seoul National University of Science and Technology«Department of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul, Republic of Korea» — PDF p.1, author block (before Abstract) ↗
    6. Calibrating Reproduced Claims in Recommender SystemsAlan Said · Experimental Methodologies Track
      University of Gothenburg«University of Gothenburg, Gothenburg, Sweden» — PDF p.1, author block (before Abstract) ↗
      Есть разбор в основном каталоге →
    7. Serendipity-Aware Recommendation via Candidate Generation and Density-Based Rejection SamplingVivian Wagumba, Joseph Wathome, Mulang Onando and Mwangi Karanja · Research Papers Track
      Jomo Kenyatta University of Agriculture and Technology«Jomo Kenyatta University of Agriculture and Technology (JKUAT)» — PDF p.1, author block (before Abstract) ↗
      Dedan Kimathi University of Technology«Dedan Kimathi University of Technology» — PDF p.1, author block (before Abstract) ↗
      SAP SE«SAP SE» — PDF p.1, author block (before Abstract) ↗
    8. SPADE: Escaping the Popularity-Similarity Frontier to Measure Serendipitous RecommendationsTobias Vente, Maarten Peirsman, Noah Daniëls, Hannu Toivonen and Bart Goethals · Experimental Methodologies Track
      University of Antwerp«ADREM Data Lab, University of Antwerp, Middelheimlaan 1, 2020 Antwerpen, Belgium» — PDF p.1, author block (before Abstract) ↗
      University of Helsinki«Department of Computer Science, PO Box 68, FI-00014 University of Helsinki, Finland» — PDF p.1, author block (before Abstract) ↗
      Froomle«Froomle, Post X, Borsbeeksebrug 34, 2600 Antwerpen, Belgium» — PDF p.1, author block (before Abstract) ↗
    9. Personalizing Diversity in News Recommendation: A User StudyAishwarya Satwani and Robin Burke · Research Papers Track
      University of Colorado Boulder«Department of Computer Science, University of Colorado Boulder» — PDF p.1, author block (before Abstract) ↗

  9. 28 сентября · после обеда

    MuRS 26MuRS 2026: 4th Music Recommender Systems Workshop

    Minneapolis, Minnesota, USA (Marriott City Center, Downtown)

    Организаторы
    • Andres Ferraronowon AG
    • Lorenzo PorcaroSapienza University of RomeSapienza University of Rome
    • Marta MoscatiAlbatross AIJohannes Kepler University Linz
    • Christine BauerUniversity of Salzburg

    Сайт ↗DOI ↗

    6 работ · с организацией 6

    Список: Accepted Papers, PDF на Google Drive. Источник ↗

    1. Amplified Silence: Uncovering and Mitigating Gender Bias in Music Recommendation AlgorithmsDhyey Desai
      University of Southern California«University of Southern California, Los Angeles, CA, USA» — PDF p.1, author block (before Abstract) ↗
    2. MusicContainerNet: Learning Representations of Musical Artists Using Aggregation-Based NetworksTimothy Greer, Wo Jae Lee, Aileen Mi, Emanuele Coviello and Amina Shabbeer
      Amazon Music«Amazon Music» — PDF p.1, author block (before Abstract) ↗
      Google«Google» — PDF p.1, author block (before Abstract) ↗
    3. Emotion-calibrated Music RecommendationMarta Moscati, Emra Gurung, Shah Nawaz, Monorama Swain and Markus Schedl
      Johannes Kepler University Linz«Johannes Kepler University Linz, Linz, Austria» — PDF p.1, author block (before Abstract) ↗
      Albatross AI«Albatross AI» — PDF p.1, author block (before Abstract) ↗
      Linz Institute of Technology«Linz Institute of Technology, Linz, Austria» — PDF p.1, author block (before Abstract) ↗
    4. LLM-based Playlist Curation: A Music Reasoning Approach at ScaleZhonghao Luo, Jianhong Chen, Nathan Apolonio and Amina Shabbeer
      Amazon Music«Amazon Music, San Francisco, California, USA» — PDF p.1, author block (before Abstract) ↗
    5. Scalable Explainability for Music Recommendation via Precomputed ReasoningAileen Mi, Jianhong Chen,Zhonghao Luo, Tim Greer and Ajita Mishra, Amina Shabbeer
      Amazon Music«Amazon Music, San Francisco, California, USA» — PDF p.1, author block (before Abstract) ↗
    6. Algorithmic Effects Through the Lens of Alternative Diversity Definitions in Music RecommendationHemanth Ramia Jegdish, Andrés Ferraro and Martín Rocamora
      Universitat Pompeu Fabra«Music Technology Group, Universitat Pompeu Fabra, Barcelona, Spain» — PDF p.1, author block (before Abstract) ↗
      nowon AG«Nowon AG, Barcelona, Spain» — PDF p.1, author block (before Abstract) ↗

  10. 28 сентября · после обеда

    GenAI-eCom 26The Third Workshop on Agentic and Generative AI for E-Commerce

    Minneapolis, Minnesota, USA (Marriott City Center, Downtown)

    Организаторы
    • Mansi Ranjit ManeWalmart
    • Neeti NarayanAmazon
    • Djordje GligorijevicMeta Platforms, Inc.
    • Dingxian WangUpwork
    • Topojoy BiswasWalmart
    • Claudio PomoPolitecnico di Bari

    Сайт ↗DOI ↗

    13 работ · с организацией 13

    Список: Раздел Accepted Papers, PDF на сайте. Источник ↗

    1. EvoRank: LLM-Guided Evolution of Multi-Objective Learning-to-Rank PipelinesRayhan Patel, Shabaz Patel
      University of Maryland«University of Maryland, College Park, MD, USA» — PDF p.1, author block (before Abstract) ↗
      Без организации: Independent Researcher
    2. SR-Agent: An Experience-Driven Agentic Framework for Post-Ranking Strategy Refinement in E-Commerce RecommendationHanchen Yang, Kaiwen Yang, Junpeng Zhuang, Yang He, Keting Cen, Bochao Liu, Zhongbo Sun, An Liu, Zhongteng Han, Chenyi Lei
      Kuaishou Technology«Kuaishou Technology, Beijing, China» — PDF p.1, author block (before Abstract) ↗
    3. MASLOW: Multi-Agent Synthetic Data Generation for Underspecified, Low-Resource E-Commerce ClassificationLing Jiang, Shaobai Jiang, Ankur Gupta, Adalie Palma, Ali Marjaninejad, Xiaoyu Chu, Prithvi Sen
      Amazon«Amazon, Sunnyvale, CA, United States» — PDF p.1, author block (before Abstract) ↗
    4. AURA: Agentic Diagnosis and Refinement for Production Recommender Systems at ScaleSungGeun Kim, Abhinav Narain, Daniel Nemirovsky
      The Walt Disney Company«The Walt Disney Company, San Francisco, CA, USA» — PDF p.1, author block (before Abstract) ↗
    5. The Disconnect Between Better Descriptive Reasoning Trace Quality and Recommendation EffectivenessGustavo Penha, Juan Elenter, Claudia Hauff, Hugues Bouchard, Paul Bennett, Mounia Lalmas
      Spotify«Spotify, United States» — PDF p.1, author block (before Abstract) ↗
    6. Efficient Clustering with Quality Guardrails for LLM-based Recommender Systems at Industry ScaleLongshaokan Wang, Wai Tsang Keung, Punit Ghodasara, Roman Wang, Ali Dashti, Francesc Moreno-Noguer
      Amazon«Amazon» — PDF p.1, author block (before Abstract) ↗
    7. Ad Insertion in LLM-Generated ResponsesShengwei Xu, Zhaohua Chen, Xiaotie Deng, Zhiyi Huang, Grant Schoenebeck
      University of Michigan«University of Michigan» — PDF p.1, author block (before Abstract) ↗
      Taobao & Tmall Group of Alibaba«Taobao & Tmall Group of Alibaba, Renmin University of China» — PDF p.1, author block (before Abstract) ↗
      Renmin University of China«Taobao & Tmall Group of Alibaba, Renmin University of China» — PDF p.1, author block (before Abstract) ↗
      City University of Hong Kong«City University of Hong Kong» — PDF p.1, author block (before Abstract) ↗
      The University of Hong Kong«The University of Hong Kong» — PDF p.1, author block (before Abstract) ↗
    8. Benchmarking Models for Conversational E-Commerce: A Reproducible Evaluation FrameworkYuri Vorontsov, Diogo S. Carvalho, Anastasia Vorontsov, Anna Platonova, Vladimir Gorovoy, Ilya Briskin, Felix Tseitlin, Senka Krivic, Salman Ahmad
      Rezolve Ai Labs«Rezolve Ai Labs, United Kingdom» — PDF p.1, author block (before Abstract) ↗
      University of Sarajevo«University of Sarajevo, Bosnia and Herzegovina» — PDF p.1, author block (before Abstract) ↗
    9. Domain-Adaptive Contrastive Embeddings for Frugal Skill Routing in Agentic E-Commerce EvaluationYue Yu, Meisam Hejazinia, Mark Martinov Kirichev, Siamak Rajabi
      Amazon«Amazon, United States» — PDF p.1, author block (before Abstract) ↗
    10. What Matters for LLM Persona Simulation: Signal Form in Cold-Start E-Commerce AdvertisingJiwoo Choi, In Ik Lee, Woo Sung Seo, Minho Lee, Yun Young Choi
      Dosan International«Dosan International, South Korea» — PDF p.1, author block (before Abstract) ↗
      SolverX«SolverX, South Korea» — PDF p.1, author block (before Abstract) ↗
    11. Beyond Ranking Accuracy: Evaluating LLM-Cited Feature Rationales for Next Basket Repurchase RecommendationYanan Cao, Anay Dombe, Murali Mohana Krishna Dandu, Shreeranjani Srirangamsridharan, Sinduja Subramaniam, Yogananth Mahalingam, Evren Korpeoglu, Kannan Achan
      Walmart Global Tech«Walmart Global Tech, Sunnyvale, CA, United States» — PDF p.1, author block (before Abstract) ↗
    12. Distill Globally, Adapt Locally: Reasoning Distillation and Product-Type Test-Time Training for Scalable Trade-Up RecommendationSiliang Liu, Mohammad Ghasemi, Sapan Patel, Amin Banitalebi-Dehkordi
      Amazon Everyday Essentials Technologies«Amazon Everyday Essentials Technologies» — PDF p.1, author block (before Abstract) ↗
    13. DENIM: Ablating Catalog Access and Visual Grounding in an Agentic Fashion Shopping AssistantAlessandro Francesco Maria Martina, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
      University of Pisa«University of Pisa, Pisa, Italy» — PDF p.1, author block (before Abstract) ↗
      University of Bari Aldo Moro«University of Bari Aldo Moro, Bari, Italy» — PDF p.1, author block (before Abstract) ↗

  11. 2 октября · весь день · Ballroom 4

    RecSoGood 26Third International Workshop on Recommender Systems for Sustainability and Social Good (RecSoGood 2026)

    Minneapolis, Minnesota, USA (Marriott City Center, Downtown)

    Организаторы
    • Ludovico BorattoUniversity of Cagliari
    • Allegra De FilippoUniversity of Bologna
    • Angelo Geninatti CossatinUniversity of Torino
    • Elisabeth LexGraz University of Technology
    • Noemi MauroUniversity of Torino
    • Giuseppe SpilloUniversity of Bari

    Сайт ↗DOI ↗

    8 работ · с организацией 0

    Список: Accepted Papers (Oral Presentations); PDF на сайте нет. Источник ↗

    1. Assessing Biases in Multimodal Recommender Systems: Analyzing the Accuracy-Fairness Trade-off for Social SustainabilityGiuseppe Spillo, Allegra De Filippo, Cataldo Musto, Michela Milano and Giovanni SemeraroPDF работы не опубликован — организации не подтверждены
    2. Fairness-Aware Data Minimization in Recommender Systems via Balanced Active LearningSipei Li, Nasim Sonboli, Mehdi Elahi and Alva CouchPDF работы не опубликован — организации не подтверждены
    3. From Energy-Efficient to Energy-Aware Recommender SystemsAlan SaidPDF работы не опубликован — организации не подтверждены
    4. VTracker 2.0: AI-Powered Tool for Detecting Recommendation Traps and Quantifying Algorithmic BiasNitin Agarwal, Femi Alayesanmi and Dinesh RamaduguPDF работы не опубликован — организации не подтверждены
    5. Graph Recommender System for Biological Control Agents Against Plant PathogensGonçalo Loureiro, Ricardo S. Ramiro, Manisha Sanjay Sirsat, Muhammad Asadullah, Leonor Fandinga, Soraia M. Alarcão, Vânia Mendonça and Márcia BarrosPDF работы не опубликован — организации не подтверждены
    6. Energy Footprint of Data Reduction Strategies for Recommender SystemsMarcell Herbák, Oleg Lesota and Antonela TommaselPDF работы не опубликован — организации не подтверждены
    7. Building Good Together, Step by Step: Co-Participatory Design for Information AccessDamiano Spina, Maria Soledad Pera and Monica LandoniPDF работы не опубликован — организации не подтверждены
    8. What Would It Take for Point-of-interest Recommender Systems to Support SDG 11?Ludovico Boratto and Adir SolomonPDF работы не опубликован — организации не подтверждены

  12. 2 октября · весь день · Ballroom 2

    USRW 26Unified Search and Recommendation Workshop

    Minneapolis, Minnesota, USA (Marriott City Center, Downtown)

    Организаторы
    • Aleksandr V. PetrovSpotify
    • Sean MacAvaneyUniversity of Glasgow
    • Gustavo PenhaSpotify
    • Léa BriandDeezer
    • Clémence VastDeezer

    Сайт ↗DOI ↗

    18 работ · с организацией 18

    Список: accepted-papers-data.js (экспорт EasyChair) с аффилиациями авторов и PDF; сессии из paper-sessions.js. Источник ↗

    1. A Unified Framework for Evaluating Systems that Allocate Visibility AlgorithmicallyStefania Ionescu, Robin Forsberg, Elsa Maria Lichtenegger, Salima Jaoua, Kshitijaa Jaglan, Florian Dörfler, Anikó Hannák · Poster
      ETH Zurich«ETH Zurich» — window.ACCEPTED_PAPERS id=200 authors[].affiliation ↗
      University of Helsinki«University of Helsinki» — window.ACCEPTED_PAPERS id=200 authors[].affiliation ↗
      University of Zurich«University of Zurich» — window.ACCEPTED_PAPERS id=200 authors[].affiliation ↗
    2. An LLM-powered Agentic Recommendation System for Connected TV Content DiscoveryLei Shi, Di Wang, Harry Tran, Helsing Xu, Yuchen Lu, Dhara Ghodasara, Wilson Chaney, Xueting Liao, Jerry Yu, Huayu Ding, Reza Mirghaderi, David Fan, Qi Guo, Chongguang He, Warren Wang, Mingze Gao, Shike Mei, Shuo Tang, Zhe Zhang, Jianming He, Abhishek Kumar, Haotian Wu, Hamed Firooz, Li Li · Oral II
      Meta Platforms, Inc.«Meta» — window.ACCEPTED_PAPERS id=164 authors[].affiliation ↗
    3. Dear Algo: A Precision-First Agentic Intent Layer for Unified Search and RecommendationRui Wang, Jiazhou Wang, Zheng Wei, Chenglin Lu, Fangcheng Sun, Ivy Sun, Jin Sun, Hui Geng, Lillian Zhang, Chao Yang, Lei Chen, Shahin Sefati, Reem Helou, Joe Zhou, Babak Shakibi, Yiyi Pan, Bi Xue, Hong Yan, Shujian Bu · Oral I
      Meta Platforms, Inc.«Meta» — window.ACCEPTED_PAPERS id=187 authors[].affiliation ↗
      Google DeepMind«Google DeepMind» — window.ACCEPTED_PAPERS id=187 authors[].affiliation ↗
      Источники одного списка расходятся: EasyChair-выгрузка воркшопа даёт «Google DeepMind; Meta», блок авторов PDF — «Meta Platforms Inc.». Поле affiliations оставлено как в списке принятых работ, блок авторов PDF — в affiliationsPdf.
    4. Every Article Deserves a Video: Contextual Video Matching for Digital PublishersArnaud Corone, Brice Pierre de la Briere, Gladys Roch, Samuel Leonardo Gracio, Yassine Bouher, Parvati Chauchaix · Oral I
      Dailymotion«Dailymotion» — window.ACCEPTED_PAPERS id=104 authors[].affiliation ↗
    5. From Clicks to Carts: Reinforcement Learning for Intent-Driven Personalized Product Search in E-CommerceHarpreet Kaur, Zekai Chen, Sumit Negi, Kai-Wei Chang · Poster
      Amazon«Amazon» — window.ACCEPTED_PAPERS id=88 authors[].affiliation ↗
    6. From IR to RecSys: Evaluating LLM-based Judges in Cranfield-style Recommendation CollectionsGustavo Penha, Aleksandr V. Petrov, Claudia Hauff, Enrico Palumbo, Ali Vardasbi, Edoardo D'Amico, Francesco Fabbri, Alice Wang, Praveen Chandar, Henrik Lindström, Hugues Bouchard, Mounia Lalmas · Poster
      Spotify«Spotify» — window.ACCEPTED_PAPERS id=62 authors[].affiliation ↗
    7. Keeping the Index Open: The Recommendation-Side Cost of Shared Search and RecommendationDmitrii Timoshenko, Theodore Rogers, Zuhaib Akhtar, Joe Standerfer, Soyoung Yang, Haoxue Li · Poster
      Amazon Web Services«Amazon Web Services» — window.ACCEPTED_PAPERS id=220 authors[].affiliation ↗
      Есть разбор в основном каталоге →
    8. MOSS: A Production Framework for Monitoring and Diagnosing Semantic Failures in Search and Recommendation SystemsAlina Nesen, Prathyusha Kanmanth Reddy, David Relyea, Rohit Avinash Mujumdar, Samaneh Karimi, Bo Shen, Jordan Hashemi · Oral II
      Target Inc.«Target Corporation» — window.ACCEPTED_PAPERS id=208 authors[].affiliation ↗
    9. Multimodal Two-Tower Retrieval at Scale: Fusing Product Text and Images for E-Commerce SearchQujiaheng Zhang, Guangyue Xu, Alex Fengjie Li · Oral I
      Target Inc.«Target Corporation» — window.ACCEPTED_PAPERS id=204 authors[].affiliation ↗
    10. MUSCLE: Multi-Attribute User Session for Query ClassificationAngjela Davitkova Gjurovska, Anna Tigunova, Paul Missault, Ghadir Eraisha · Poster
      Amazon«Amazon» — window.ACCEPTED_PAPERS id=199 authors[].affiliation ↗
      Источники одного списка расходятся: EasyChair-выгрузка воркшопа даёт «Amazon; RPTU», блок авторов PDF — «Amazon; RPTU Kaiserslautern». Поле affiliations оставлено как в списке принятых работ, блок авторов PDF — в affiliationsPdf.
    11. Nearest but Not Dearest: Shared Curator-Feedback Infrastructure for Content-Only Search and RecommendationMatt Sandler · Oral I
      Feed.fm«Feed.fm» — window.ACCEPTED_PAPERS id=223 authors[].affiliation ↗
    12. One Hierarchy, Two Systems: Semantic Product IDs for Discovery-Surface Ranking and Search-Page Query ReformulationSteven Xu, Sanjyot Thete, Raghav Saboo, Nimesh Sinha, Saathvik Dirisala, Sudeep Das · Oral I
      DoorDash«DoorDash Inc.» — window.ACCEPTED_PAPERS id=214 authors[].affiliation ↗
    13. Orthogonal Norm Growth in Two-Tower Retrieval: A Popularity Mechanism for Unified DiscoveryAndrei Atamaniuk · Poster
      Wildberries and Russ«Wildberries and Russ» — PDF p.1, author block (before Abstract) ↗
      EasyChair-выгрузка: RWB. Сопоставление по блоку авторов PDF; сокращение из EasyChair не расшифровано.
    14. Recovering Expert Critic-Sourced Graph Adjacency between Musical Artists from Acoustic Distributions: A Construct-Validity ApproachElena Badillo Goicoechea, Taylor He · Poster
      The University of Chicago«University of Chicago» — window.ACCEPTED_PAPERS id=215 authors[].affiliation ↗
    15. Robust Fusion of Semantic and Behavioural Signals for LLM Reranking in Personalised SearchAleksandr V. Petrov, Nathan Stein, Erik Lybecker, Emma Schüldt, Daniel Lazarovski, Hugues Bouchard, Mounia Lalmas · Oral I
      Spotify«Spotify» — window.ACCEPTED_PAPERS id=77 authors[].affiliation ↗
    16. Train Deep, Infer Shallow: Small Language Models for Semantic-ID Ads RetrievalXinyuan Wang, Arun Sethupat, Kushal Dave, Skanda Vasudevan, Dinesh Govindaraj, Akanksha Baid · Poster
      Arizona State University«Arizona State University» — window.ACCEPTED_PAPERS id=217 authors[].affiliation ↗
      Pinterest«Pinterest» — window.ACCEPTED_PAPERS id=217 authors[].affiliation ↗
    17. Unified Cross-Domain Semantic Retrieval for Cold-Start Audiobook DiscoveryAmit Goyal · Poster
      Amazon«Amazon» — window.ACCEPTED_PAPERS id=202 authors[].affiliation ↗
      Источники одного списка расходятся: EasyChair-выгрузка воркшопа даёт «Amazon», блок авторов PDF — «Amazon Music». Поле affiliations оставлено как в списке принятых работ, блок авторов PDF — в affiliationsPdf.
    18. Unified Ranking Across Retrieval Channels: A Large-Scale E-Commerce ApproachAditya Gaydhani, Guangyue Xu, Dhanush Kamath, Ankit Singh, Alex Li · Oral III
      Target Inc.«Target Corporation» — window.ACCEPTED_PAPERS id=206 authors[].affiliation ↗

  13. 2 октября · весь день · Ballroom 1

    CONSEQUENCES 26CONSEQUENCES '26 — The 5th Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems

    Minneapolis, Minnesota, USA (Marriott City Center, Downtown)

    Организаторы
    • Olivier JeunenIndependent Researcher, Antwerp, Belgium
    • Harrie OosterhuisUniversity of Amsterdam
    • Flavian VasileCriteo AI Lab
    • Yixin WangUniversity of Michigan
    • Haruka KiyoharaCornell University
    • Thorsten JoachimsCornell University

    Сайт ↗DOI ↗

    12 работ · с организацией 10

    Список: Contributions (алфавитный список), ссылки на arXiv/PDF; non-archival. Источник ↗

    1. Adaptive Doubly Robust Off-Policy Evaluation for Ranking Policies under Diverse User BehaviorKosuke Iguchi and Ren Kishimoto
      Institute of Science Tokyo«Institute of Science Tokyo» — PDF p.1, author block (before Abstract) ↗
    2. Auditing Return Conditioning as a Control Knob: An Offline Diagnostic for Decision Transformer RecommendationJingyu WangБез организации: Independent ResearcherВ блоке авторов нет организации
    3. Between-User Collapse Under Popularity-Biased Feedback: A Centered-Covariance Theorem and Computable Phase BoundarySahil MedepalliБез организации: Independent ResearcherВ блоке авторов нет организации
    4. Beyond Raw Engagement: A Counterfactual Observability Framework for Recommender Systems at NetflixChaoran Guo, Ding Tong, Ting-Po Lee and Scarlet Chen
      Netflix«Netflix» — PDF p.1, author block (before Abstract) ↗
    5. Following the Eye-Tracking Evidence: Established Web-Search Assumptions Fail in Carousel InterfacesJingwei Kang, Maarten de Rijke and Harrie Oosterhuis
      University of Amsterdam«University of Amsterdam» — PDF p.1, author block (before Abstract) ↗
    6. From Prompting to Behavioral Alignment: Personalized LLM Judges for Recommendation EvaluationAlireza Salkhordeh Ziabari, Kat Ellis, Colleen Chan and Ding Tong
      Netflix«Netflix» — PDF p.1, author block (before Abstract) ↗
    7. Incremental Recommendation via Causal ModelsAthanasios Vlontzos, David Gustafsson, Michael O'Riordan and Ciarán Gilligan-Lee
      Hologen«Hologen» — PDF p.1, author block (before Abstract) ↗
      Imperial College London«Imperial College London, UK» — PDF p.1, author block (before Abstract) ↗
      Spotify«Spotify, Sweden» — PDF p.1, author block (before Abstract) ↗
      University College London«University College London, UK» — PDF p.1, author block (before Abstract) ↗
    8. Medical Causal Hypothesis Verification with Large Language ModelsSafiyyah Ahmed, Abrar Ansari, Md Aminul Islam and Elena Zheleva
      University of Illinois Chicago«University of Illinois Chicago» — PDF p.1, author block (before Abstract) ↗
    9. Off-Policy Evaluation for Semantic ID Recommenders: Does the Model’s Own Code Hierarchy Help?Artem Betlei
      Criteo AI Lab«Criteo AI Lab» — PDF p.1, author block (before Abstract) ↗
    10. Revisiting N2DCG: An Empirically Grounded Reformulation of Carousel Recommendation EvaluationJingwei Kang, Santiago de Leon-Martinez, Maarten de Rijke and Harrie Oosterhuis
      University of Amsterdam«University of Amsterdam» — PDF p.1, author block (before Abstract) ↗
      Brno University of Technology«Brno University of Technology» — PDF p.1, author block (before Abstract) ↗
    11. Risk Optimization for Learning to Rank through Portfolio TheoryOscar Ramirez Milian and Harrie Oosterhuis
      University of Amsterdam«University of Amsterdam» — PDF p.1, author block (before Abstract) ↗
    12. Stageboost: Recommending Signals based on Counterfactual EstimationsDarpan Singhal, Matan Mandelbrod, Tal Franji, Manasa Kolla, Vipul Gaba and Yuri Brovman
      eBay Inc.«eBay» — PDF p.1, author block (before Abstract) ↗

  14. 2 октября · утро

    BEYOND 26Beyond Algorithms: A Workshop on the Interdisciplinarity of Recommender Systems (BEYOND 2026)

    Minneapolis, Minnesota, USA (Marriott City Center, Downtown)

    Организаторы
    • Christine BauerUniversity of Salzburg
    • Eva ZangerleUniversity of Innsbruck
    • Alan SaidUniversity of Gothenburg

    Сайт ↗DOI ↗

    5 работ · с организацией 0

    Список: Только программа: авторы и названия; CEUR-труды обещаны после воркшопа. Источник ↗

    1. Reading Crowds Are Not Monoliths — but Their Factions May Not Travel: Sub-Group Structure in Social Highlighting and What It Means for RecommendersKazuki Nakayashiki and Keisuke WatanabePDF работы не опубликован — организации не подтверждены
    2. PIXU: Personalized News Article Image SelectionMahamudul Hasan, Daniel Kluver, Bart P. Knijnenburg and Joseph A. KonstanPDF работы не опубликован — организации не подтверждены
    3. Ordered Pairwise Comparison: Structured Exploration for Improving Provider Fairness in Recommender SystemsSalima Jaoua, Nicolò Pagan, Anikó Hannák and Stefania IonescuPDF работы не опубликован — организации не подтверждены
    4. A Pedagogically Demonstrative Model Visualizing the Pathway from Online Interactions to Personalized RecommendationSushmita Khan, Connor Pennington and Bart KnijnenburgPDF работы не опубликован — организации не подтверждены
    5. Serendipity Cards: An Affordance-Based Translational Design MethodAnnelien SmetsPDF работы не опубликован — организации не подтверждены

  15. 2 октября · после обеда

    AltRecSys 26The Second AltRecSys Workshop on Reimagining Recommender Systems Research & Practice

    Minneapolis, Minnesota, USA (Marriott City Center, Downtown)

    Организаторы
    • Maria Soledad PeraDelft University of Technology
    • Michael D. EkstrandDrexel University
    • Alan SaidUniversity of Gothenburg

    Сайт ↗DOI ↗

    5 работ · с организацией 0

    Список: Программа: lightning talks (не статьи); указан докладчик, а не авторы. Источник ↗

    1. CommunalizationAnas Buhayh · Lightning talkPDF работы не опубликован — организации не подтверждены
    2. When Worlds Collide: The Joined Worlds Problem in Curated Social MediaAshlee Milton · Lightning talkPDF работы не опубликован — организации не подтверждены
    3. Scaling lawsShiteng Cao · Lightning talkPDF работы не опубликован — организации не подтверждены
    4. PrivacyManoj Reddy Dareddy · Lightning talkPDF работы не опубликован — организации не подтверждены
    5. The Illusion of Value in Recommender Systems ResearchBart Goethals · Lightning talkPDF работы не опубликован — организации не подтверждены

Туториалы 6

  1. 28 сентября · утро

    Recommender Systems in Delivery Platforms: Challenges, Solutions and Learnings

    Minneapolis, Minnesota, USA (Marriott City Center, Downtown)

    Организаторы
    • Marcel KurovskiWolt
    • Paavo CampsWolt
    • Raghav SabooDoorDash

    Страница ACM ↗DOI ↗

    Туториал — не площадка для статей; списка работ нет по природе формата

  2. 28 сентября · утро

    Continuous Automated Reproducibility

    Minneapolis, Minnesota, USA (Marriott City Center, Downtown)

    Организаторы
    • Michael D. EkstrandDrexel University

    Страница ACM ↗DOI ↗

    Туториал — не площадка для статей; списка работ нет по природе формата

  3. 28 сентября · утро

    Composing Agents, Compounding Risks: A Tutorial on Robustness and Alignment in Multi-Agent Recommender Systems

    Minneapolis, Minnesota, USA (Marriott City Center, Downtown)

    Организаторы
    • Kurt CutajarAmazon
    • Jas KandolaAmazon
    • Anjun HuUniversity of Oxford
    • Yashar DeldjooPolitecnico di Bari

    Страница ACM ↗DOI ↗

    Туториал — не площадка для статей; списка работ нет по природе формата

  4. 28 сентября · утро

    Transformer-based Sequential Recommender Systems

    Minneapolis, Minnesota, USA (Marriott City Center, Downtown)

    Организаторы
    • Jan Malte LichtenbergAstra
    • Aleksandr V. PetrovSpotify

    Страница ACM ↗Сайт туториала ↗Материалы ↗Слайды ↗DOI ↗

    Туториал — не площадка для статей; списка работ нет по природе формата

  5. 28 сентября · после обеда

    Recommender Systems and Sustainability: Bridging Algorithmic Design and Societal Impact

    Minneapolis, Minnesota, USA (Marriott City Center, Downtown)

    Организаторы
    • Allegra De FilippoUniversity of Bologna
    • Ludovico BorattoUniversity of Cagliari
    • Giuseppe SpilloUniversity of Bari

    Страница ACM ↗Сайт туториала ↗DOI ↗

    Туториал — не площадка для статей; списка работ нет по природе формата

  6. 28 сентября · после обеда

    Beyond Searching a Village: Learning to Recommend Diverse and Successful Collaborative Teams

    Minneapolis, Minnesota, USA (Marriott City Center, Downtown)

    Организаторы
    • Mahdis SaeediUniversity of Windsor
    • Hossein FaniUniversity of Toronto

    Страница ACM ↗Сайт туториала ↗DOI ↗

    Туториал — не площадка для статей; списка работ нет по природе формата

Кейноуты 2

  1. 29 сентября · открывающий кейноут · Ballroom

    Curating Minds: The Ethics of Engineering Recommendations that Reshape Reality

    Minneapolis, Minnesota, USA (Marriott City Center, Downtown)

    Докладчик
    • Margaret MitchellHugging Face

    Страница ACM ↗Программа ↗

    Кейноут — доклад, списка работ нет

  2. 1 октября · закрывающий кейноут · Ballroom

    Recommendation beyond Items and Engagement

    Minneapolis, Minnesota, USA (Marriott City Center, Downtown)

    Докладчик
    • Thorsten JoachimsCornell University

    Страница ACM ↗Программа ↗

    Кейноут — доклад, списка работ нет

Как собран разрез

Каждое название, имя, дата и организация взяты из источника и подтверждены цитатой: метаданные сборника ACM (Crossref), сайт воркшопа, его список принятых работ или первая страница PDF. Цитата и место в источнике открываются по клику на организацию работы, а у организаторов — во всплывающей подсказке.

Работ в разрезе 136 — все из опубликованных списков принятых работ воркшопов. Подтверждённая организация есть у 109; у 23 воркшоп не опубликовал PDF, у 3 в блоке авторов нет организации, 1 PDF анонимизирован. Работы, которые есть и здесь, и в основном каталоге, помечены ссылкой на разбор и учтены в статистике основного корпуса один раз — как работы каталога.