Agenda
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Virtual Only
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3rd Floor Foyer
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3rd Floor Prefunction
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327
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336
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Nicoll 3
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12:35
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3rd Floor Foyer
10:30
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11:15
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329
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17:35
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330
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335
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Nicoll 3
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327
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17:35
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3rd Floor Foyer
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16:05
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Nicoll 3
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17:35
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Hall 405
18:00
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20:00
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4th Floor Prefunction
8:00
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17:30
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405
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9:00
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Hall 405
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Hall 406 CX
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Keynote
Welcome and Keynote: "From Documents to Dialogues: How LLMs are Shaping the Future of Work"
Session Chair
Presented by Jaime Teevan (Microsoft)
Moderated by Tommaso di Noia
405
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11:00
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Hall 405
10:30
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11:15
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Break
Wednesday AM Coffee and Posters
Session Chair
Sponsored by Coolita
Hall 406 CX
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12:35
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Paper
Session 1: Collaborative filtering 1
Session Chair
Toine Bogers
Hall 406 D
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12:35
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Paper
Session 2: Click-Through Rate prediction
Session Chair
Zhenhua Dong
Papers
Posters
Demos
Gradient Matching for Categorical Data Distillation in CTR Prediction
View PageDeep Situation-Aware Interaction Network for Click-Through Rate Prediction
View PageAutoOpt: Automatic Hyperparameter Scheduling and Optimization for Deep Click-through Rate Prediction
View PageLoss Harmonizing for Multi-Scenario CTR Prediction
View PageHall 405
12:35
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14:00
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Lunch
Wednesday Lunch (on own) and Posters
Session Chair
Hall 406 CX
14:00
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15:20
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Paper
Session 3: Applications
Session Chair
Alan Said
Papers
Posters
Demos
HUMMUS: A Linked, Healthiness-Aware, User-centered and Argument-Enabling Recipe Data Set for Recommendation
View PageFast and Examination-agnostic Reciprocal Recommendation in Matching Markets
View PageGoing Beyond Local: Global Graph-Enhanced Personalized News Recommendations
View PageMasked and Swapped Sequence Modeling for Next Novel Basket Recommendation in Grocery Shopping
View PageHall 406 D
14:00
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15:20
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Paper
Session 4: Trustworthy Recommendation
Session Chair
Michael Ekstrand
Papers
Posters
Demos
When Fairness meets Bias: a Debiased Framework for Fairness aware Top-N Recommendation
View PageTowards Robust Fairness-aware Recommendation
View PageTwo-sided Calibration for Quality-aware Responsible Recommendation
View PageRecAD : Towards A Unified Library for Recommender Attack and Defense
View Page405
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Hall 405
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Break
Wednesday PM Coffee and Posters
Session Chair
Sponsored by Coolita
Hall 406 CX
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17:25
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Paper
Session 5: Sequential Recommendation 1
Session Chair
Craig MacDonald
Papers
Posters
Demos
Distribution-based Learnable Filters with Side Information for Sequential Recommendation
View PageReciprocal Sequential Recommendation
View PageSTRec: Sparse Transformer for Sequential Recommendations
View PageTrack Mix Generation on Music Streaming Services using Transformers
View PageHall 406 D
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17:25
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Paper
Session 6: Graphs
Session Chair
Robin Burke
Papers
Posters
Demos
Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation
View PageLightSAGE: Graph Neural Networks for Large Scale Item Retrieval in Shopee’s Advertisement Recommendation
View PageMulti-Relational Contrastive Learning for Recommendation
View PageChallenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis
View Page4th Floor Prefunction
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Hall 405
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Hall 406 CX
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Hall 405
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Break
Thursday AM Coffee and Posters
Session Chair
Sponsored by Amazon
Hall 406 CX
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Paper
Session 7: Interactive Recommendation 1
Session Chair
Fedulucio Narducci
Papers
Posters
Demos
Goal-Oriented Multi-Modal Interactive Recommendation with Verbal and Non-Verbal Relevance Feedback
View PageAlleviating the Long-Tail Problem in Conversational Recommender Systems
View PageData-free Knowledge Distillation for Reusing Recommendation Models
View PageOnline Matching: A Real-time Bandit System for Large-scale Recommendations
View PageHall 406 D
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Paper
Session 8: Knowledge and Context
Session Chair
Vito Walter Anelli
Papers
Posters
Demos
Knowledge-based Multiple Adaptive Spaces Fusion for Recommendation
View PageKGTORe: Tailored Recommendations through Knowledge-aware GNN Models
View PagePairwise Intent Graph Embedding Learning for Context-Aware Recommendation
View PageHeterogeneous Knowledge Fusion: A Novel Approach for Personalized Recommendation via LLM
View PageHall 405
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Break
Thursday Lunch (on own) and Posters
Session Chair
Hall 406 D
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Paper
Session 10: Reinforcement Learning
Session Chair
Oren Sar Shalom
Papers
Posters
Demos
InTune: Reinforcement Learning-based Data Pipeline Optimization for Deep Recommendation Models
View PageGenerative Learning Plan Recommendation for Employees: A Performance-aware Reinforcement Learning Approach
View PageCorrecting for Interference in Experiments: A Case Study at Douyin
View PageReproducibility of Multi-Objective Reinforcement Learning Recommendation: Interplay between Effectiveness and Beyond-Accuracy Perspectives
View PageHall 406 CX
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Paper
Session 9: Collaborative filtering 2
Session Chair
Markus Schedl
Papers
Posters
Demos
Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems
View PageTrending Now: Modeling Trend Recommendations
View PageA Lightweight Method for Modeling Confidence in Recommendations with Learned Beta Distributions
View PageInvestigating the effects of incremental training on neural ranking models
View Page405
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Hall 405
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Break
Thursday PM Coffee and Posters
Session Chair
Sponsored by Amazon
Hall 406 CX
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Paper
Session 11: Sequential Recommendation 2
Session Chair
Robin Burke
Papers
Posters
Demos
gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling
View PageEquivariant Contrastive Learning for Sequential Recommendation
View PageContrastive Learning with Frequency-Domain Interest Trends for Sequential Recommendation
View PageTask Aware Feature Extraction Framework for Sequential Dependence Multi-Task Learning
View PageHall 406 D
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Paper
Session 12: Evaluation
Session Chair
Christine Bauer
Papers
Posters
Demos
How Should We Measure Filter Bubbles? A Regression Model and Evidence for Online News
View PageEveryone's a Winner! On Hyperparameter Tuning of Recommendation Models
View PageWhat We Evaluate When We Evaluate Recommender Systems: Understanding Recommender Systems’ Performance using Item Response Theory
View PageIdentifying Controversial Pairs in Item-to-Item Recommendations
View PageMarina Bay Sands: Level 5 Sands Grand Ballroom
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21:30
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4th Floor Prefunction
8:30
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18:00
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Hall 405
8:30
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16:05
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Hall 406 CX
9:30
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10:30
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Hall 405
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11:15
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Break
Friday AM Coffee and Posters
Session Chair
Sponsored by Netflix
Virtual Only
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11:00
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405
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Hall 406 CX
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Paper
Session 13: Side Information, Items structure and Relations
Session Chair
Iadh Ounis
Papers
Posters
Demos
Full Index Deep Retrieval: End-to-End User and Item Structures for Cold-start and Long-tail Item Recommendation
View PageSPARE: Shortest Path Global Item Relations for Efficient Session-based Recommendation
View PageAccelerating Creator Audience Building through Centralized Exploration
View PageBeyond Labels: Leveraging Deep Learning and LLMs for Content Metadata
View PageHall 406 D
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Paper
Session 14: Multi-task Recommendation
Session Chair
Cataldo Musto
Papers
Posters
Demos
STAN: Stage-Adaptive Network for Multi-Task Recommendation by Learning User Lifecycle-Based Representation
View PageDisentangling Motives behind Item Consumption and Social Connection for Mutually-enhanced Joint Prediction
View PageBVAE: Behavior-aware Variational Autoencoder for Multi-Behavior Multi-Task Recommendation
View PageMLCM: A Multi-task Large Pre-trained Customer Model for Personalization
View PageHall 405
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Lunch
Friday Lunch (on own) and Posters
Session Chair
Hall 406 CX
14:00
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15:20
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Paper
Session 15: Cross-domain Recommendation
Session Chair
Marko Tkalcic
Papers
Posters
Demos
DREAM: Decoupled Representation via Extraction Attention Module and Supervised Contrastive Learning for Cross-Domain Sequential Recommender
View PageA Multi-view Graph Contrastive Learning Framework for Cross-Domain Sequential Recommendation
View PageExploring False Hard Negative Sample in Cross-Domain Recommendation
View PageDomain Disentanglement with Interpolative Data Augmentation for Dual-Target Cross-Domain Recommendation
View PageHall 406 D
14:00
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15:20
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Paper
Session 16: Multimedia Recommendation
Session Chair
Justin Basilico
Papers
Posters
Demos
Uncovering User Interest from Biased and Noised Watch Time in Video Recommendation
View PageTowards the Understanding and Modeling of Passive-Negative Feedback in Sequential Short-video Recommendation
View PagePersonalised Recommendations for the BBC iPlayer: Initial approach and current challenges
View PageReproducibility Analysis of Recommender Systems relying on Visual Features: traps, pitfalls, and countermeasures
View PageHall 405
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Break
Friday PM Coffee and Posters
Session Chair
Sponsored by Netflix
Hall 406 CX
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Paper
Session 17: Interactive Recommendation 2
Session Chair
Ludovico Boratto
Hall 406 D
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Paper
Women in RecSys Journal Paper of the Year Awards
Session Chair
Ashmi Banerjee
Papers
Posters
Demos
We’re in This Together: A Multi-Stakeholder Approach for News Recommenders
View PageDaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation
View PageA Framework and Toolkit for Testing the Correctness of Recommendation Algorithms
View PageEffects of Personalized Recommendations versus Aggregate Ratings on Post-Consumption Preference Responses
View PagePsychology-informed Recommender Systems
View PageEvaluating Recommender Systems: Survey and Framework
View PageHall 406 CX
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