Graph Collaborative Reasoning | 2 | 0.37 | 2022 |
Causal Factorization Machine for Robust Recommendation | 0 | 0.34 | 2022 |
Toward Pareto Efficient Fairness-Utility Trade-off in Recommendation through Reinforcement Learning | 0 | 0.34 | 2022 |
Improving Personalized Explanation Generation through Visualization | 0 | 0.34 | 2022 |
Learn Basic Skills and Reuse: Modularized Adaptive Neural Architecture Search (MANAS) | 0 | 0.34 | 2022 |
AutoLossGen: Automatic Loss Function Generation for Recommender Systems | 0 | 0.34 | 2022 |
Dynamic Causal Collaborative Filtering. | 0 | 0.34 | 2022 |
Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning | 0 | 0.34 | 2022 |
ExpScore: Learning Metrics for Recommendation Explanation | 0 | 0.34 | 2022 |
Path Language Modeling over Knowledge Graphsfor Explainable Recommendation | 0 | 0.34 | 2022 |
RGRecSys: A Toolkit for Robustness Evaluation of Recommender Systems | 0 | 0.34 | 2022 |
HOOPS: Human-in-the-Loop Graph Reasoning for Conversational Recommendation | 2 | 0.37 | 2021 |
Variation Control and Evaluation for Generative Slate Recommendations | 1 | 0.35 | 2021 |
Towards Long-term Fairness in Recommendation | 10 | 0.46 | 2021 |
CSR 2021: The 1st International Workshop on Causality in Search and Recommendation | 0 | 0.34 | 2021 |
Faithfully Explainable Recommendation via Neural Logic Reasoning | 0 | 0.34 | 2021 |
User-oriented Fairness in Recommendation | 3 | 0.37 | 2021 |
Conversational Search and Recommendation: Introduction to the Special Issue | 0 | 0.34 | 2021 |
The 1st International Workshop on Machine Reasoning: International Machine Reasoning Conference (MRC 2021) | 0 | 0.34 | 2021 |
Dynamic Graph Representation Learning For Video Dialog Via Multi-Modal Shuffled Transformers | 0 | 0.34 | 2021 |
Neural Collaborative Reasoning | 7 | 0.44 | 2021 |
Counterfactual Data-Augmented Sequential Recommendation | 5 | 0.54 | 2021 |
EX3: Explainable Attribute-aware Item-set Recommendations | 3 | 0.39 | 2021 |
Counterfactual Explainable Recommendation | 1 | 0.35 | 2021 |
WSDM 2021 Tutorial on Conversational Recommendation Systems | 2 | 0.38 | 2021 |
Efficient Non-Sampling Knowledge Graph Embedding | 2 | 0.35 | 2021 |
CIKM 2021 Tutorial on Fairness of Machine Learning in Recommender Systems | 0 | 0.34 | 2021 |
IUI 2021 Tutorial on Conversational Recommendation Systems | 0 | 0.34 | 2021 |
Popcorn: Human-in-the-loop Popularity Debiasing in Conversational Recommender Systems | 0 | 0.34 | 2021 |
Towards Personalized Fairness based on Causal Notion | 4 | 0.40 | 2021 |
Tutorial on Fairness of Machine Learning in Recommender Systems | 1 | 0.35 | 2021 |
EXTRA: Explanation Ranking Datasets for Explainable Recommendation | 2 | 0.36 | 2021 |
Initial Assessment Of Galileo Triple-Frequency Ambiguity Resolution Between Reference Stations In The Hong Kong Area | 0 | 0.34 | 2021 |
Explainable Recommendation: A Survey and New Perspectives. | 18 | 0.69 | 2020 |
Towards Controllable Explanation Generation for Recommender Systems via Neural Template | 2 | 0.35 | 2020 |
Understanding Echo Chambers in E-commerce Recommender Systems | 6 | 0.43 | 2020 |
Efficient Heterogeneous Collaborative Filtering Without Negative Sampling For Recommendation | 0 | 0.34 | 2020 |
A Representation Learning Approach to Animal Biodiversity Conservation. | 0 | 0.34 | 2020 |
Learning Personalized Risk Preferences for Recommendation | 2 | 0.37 | 2020 |
Explainable Product Search with a Dynamic Relation Embedding Model | 5 | 0.39 | 2020 |
A Novel Method for Mitigating the GPS Multipath Effect Based on a Multi-Point Hemispherical Grid Model. | 0 | 0.34 | 2020 |
Generate Neural Template Explanations for Recommendation | 7 | 0.44 | 2020 |
Fairness-Aware Explainable Recommendation over Knowledge Graphs | 13 | 0.52 | 2020 |
Tutorial on Conversational Recommendation Systems | 3 | 0.38 | 2020 |
IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems | 4 | 0.40 | 2020 |
E-commerce Recommendation with Weighted Expected Utility | 0 | 0.34 | 2020 |
FairCharge: A Data-Driven Fairness-Aware Charging Recommendation System for Large-Scale Electric Taxi Fleets | 3 | 0.37 | 2020 |
Adversarial Distillation for Efficient Recommendation with External Knowledge. | 6 | 0.40 | 2019 |
Relational Collaborative Filtering:Modeling Multiple Item Relations for Recommendation | 20 | 0.68 | 2019 |
EARS 2019: The 2nd International Workshop on ExplainAble Recommendation and Search | 2 | 0.35 | 2019 |