• GunosyDMについて
• Multimodal Emergent Fake News Detection via Meta Neural Process Networks
• Comparing the Sensitivity of Information Retrieval Metrics
• This Is Not What We Ordered: Exploring Why Biased Search Result Rankings Affect User Attitudes on Debated Topics
• Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud
• [2021/09/09] Toward Dynamic User Intention: Temporal Evolutionary Effects of Item Relations in Sequential Recommendation
• Improving Bi-encoder Document Ranking Models with Two Rankers and Multi-teacher Distillation
• SentiRec: Sentiment Diversity-aware Neural News Recommendation
• Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation
• Mitigating Sentiment Bias for Recommender Systems
• An Image is Worth a Thousand Terms? Analysis of Visual E-Commerce Search
• Wu+'20 MIND: A Large-scale Dataset for News Recommendation (ACL 2020)
• Personalized News Recommendation with Knowledge-aware Interactive Matching
• Contextualized Offline Relevance Weighting for Efficient and Effective Neural Retrieval
• Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue
• Users Versus Models: What Observation Tells Us About Effectiveness Metrics
• Enhancing Domain-Level and User-Level Adaptivity in Diversified Recommendation
• On Interpretation and Measurement of Soft Attributes for Recommendation
• When Choice Happens: A Systematic Examination of Mouse Movement Length for Decision Making in Web Search
• [2021/07/01] WiFi Sensing with Channel State Information: A Survey