Frequency Enhanced Hybrid Attention Network for Sequential Recommendation
Comments 11 pages, 7 figures, The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
期刊&会议
SIGIR
ACM SIGIR Conference on Research and Development in Information Retrieval · 会议 · Information Retrieval
Ensemble Modeling with Contrastive Knowledge Distillation for Sequential Recommendation
Comments Accepted by SIGIR 2023
FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning
Comments SIGIR 2023, Resource Track
Inference at Scale Significance Testing for Large Search and Recommendation Experiments
Comments Published in ACM SIGIR 2023
Unsupervised Dense Retrieval Training with Web Anchors
Comments SIGIR'23 Short
Popularity Debiasing from Exposure to Interaction in Collaborative Filtering
Comments Published as a SIGIR'23 short paper
Attacking Pre-trained Recommendation
Comments Accepted by SIGIR 2023
Exploiting Simulated User Feedback for Conversational Search: Ranking, Rewriting, and Beyond
Comments 11 pages, 2 figures, to be published in SIGIR 2023
Beyond Single Items: Exploring User Preferences in Item Sets with the Conversational Playlist Curation Dataset
Comments Appearing in Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting Evidence
Comments SIGIR 2023
Think Rationally about What You See: Continuous Rationale Extraction for Relation Extraction
Comments SIGIR 2023
Augmenting Low-Resource Text Classification with Graph-Grounded Pre-training and Prompting
Comments 11 pages, accepted by SIGIR'23
Recent Advances in the Foundations and Applications of Unbiased Learning to Rank
Comments SIGIR 2023 - Tutorial
Unsupervised Story Discovery from Continuous News Streams via Scalable Thematic Embedding
Comments Accepted by SIGIR'23
When Newer is Not Better: Does Deep Learning Really Benefit Recommendation From Implicit Feedback?
Comments Published as a conference paper at SIGIR 2023
Safe Deployment for Counterfactual Learning to Rank with Exposure-Based Risk Minimization
Comments SIGIR 2023 - Full paper
On the Impact of Outlier Bias on User Clicks
Comments Accepted at SIGIR'23, Full Paper Track
Topic-oriented Adversarial Attacks against Black-box Neural Ranking Models
Comments Accepted by SIGIR 2023
A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning
Comments Accepted by SIGIR 2023
Multivariate Representation Learning for Information Retrieval
Comments Accepted for publication at SIGIR 2023
Patterns of gender-specializing query reformulation
Journal ref Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '23) [2023]
Understand the Dynamic World: An End-to-End Knowledge Informed Framework for Open Domain Entity State Tracking
Comments Published as a conference paper at SIGIR 2023
Large Language Models are Versatile Decomposers: Decompose Evidence and Questions for Table-based Reasoning
Comments SIGIR 2023
Friend Ranking in Online Games via Pre-training Edge Transformers
Comments Accepted by the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023)
A Personalized Dense Retrieval Framework for Unified Information Access
Comments Accepted to SIGIR 2023
Examining the Impact of Uncontrolled Variables on Physiological Signals in User Studies for Information Processing Activities
Comments Accepted to the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '23)
Improving Conversational Passage Re-ranking with View Ensemble
Comments SIGIR 2023
Generative Relevance Feedback with Large Language Models
Comments SIGIR 2023 Preprint, 6 pages
Modeling Spoken Information Queries for Virtual Assistants: Open Problems, Challenges and Opportunities
Comments SIGIR '23. The 46th International ACM SIGIR Conference on Research & Development in Information Retrieval
Introducing MBIB -- the first Media Bias Identification Benchmark Task and Dataset Collection
Comments To be published in Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '23)
