{"total":24,"rows":[{"id":"2209.10117","title":"A Comprehensive Survey on Trustworthy Recommender Systems","created":"2022-09-21","cited_by_count":32,"area":null},{"id":"2109.02859","title":"Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation","created":"2021-09-07","cited_by_count":21,"area":null},{"id":"2412.08847","title":"MOPI-HFRS: A Multi-objective Personalized Health-aware Food Recommendation System with LLM-enhanced Interpretation","created":"2024-12-12","cited_by_count":18,"area":null},{"id":"2202.06466","title":"Measuring \"Why\" in Recommender Systems: a Comprehensive Survey on the Evaluation of Explainable Recommendation","created":"2022-02-14","cited_by_count":14,"area":null},{"id":"2109.09587","title":"Recommender systems based on graph embedding techniques: A comprehensive review","created":"2021-09-20","cited_by_count":8,"area":null},{"id":"2111.00670","title":"Comparative Explanations of Recommendations","created":"2021-11-01","cited_by_count":8,"area":null},{"id":"2207.00594","title":"Time-aware Dynamic Graph Embedding for Asynchronous Structural Evolution","created":"2022-07-01","cited_by_count":8,"area":null},{"id":"2406.13201","title":"Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing Approach","created":"2024-06-19","cited_by_count":6,"area":null},{"id":"2111.12262","title":"Reinforcement Learning based Path Exploration for Sequential Explainable Recommendation","created":"2021-11-24","cited_by_count":4,"area":null},{"id":"2302.04545","title":"Lorentz Equivariant Model for Knowledge-Enhanced Hyperbolic Collaborative Filtering","created":"2023-02-09","cited_by_count":1,"area":null},{"id":"2306.10345","title":"Do as I can, not as I get","created":"2023-06-17","cited_by_count":1,"area":null},{"id":"2311.09577","title":"Group-Aware Interest Disentangled Dual-Training for Personalized Recommendation","created":"2023-11-16","cited_by_count":1,"area":null},{"id":"2408.00166","title":"Review of Explainable Graph-Based Recommender Systems","created":"2024-07-31","cited_by_count":1,"area":null},{"id":"2108.02572","title":"SINGA-Easy: An Easy-to-Use Framework for MultiModal Analysis","created":"2021-08-03","cited_by_count":0,"area":null},{"id":"2108.02725","title":"VisualTextRank: Unsupervised Graph-based Content Extraction for Automating Ad Text to Image Search","created":"2021-08-05","cited_by_count":0,"area":null},{"id":"2109.05778","title":"Text is NOT Enough: Integrating Visual Impressions into Open-domain Dialogue Generation","created":"2021-09-13","cited_by_count":0,"area":null},{"id":"2202.02830","title":"Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectors","created":"2022-02-06","cited_by_count":0,"area":null},{"id":"2203.11011","title":"Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks","created":"2022-03-08","cited_by_count":0,"area":null},{"id":"2205.08335","title":"Explanation-Guided Fairness Testing through Genetic Algorithm","created":"2022-05-16","cited_by_count":0,"area":null},{"id":"2207.14648","title":"Using Graph Neural Networks for Program Termination","created":"2022-07-28","cited_by_count":0,"area":null},{"id":"2303.09664","title":"Tribe or Not? Critical Inspection of Group Differences Using TribalGram","created":"2023-03-16","cited_by_count":0,"area":null},{"id":"2306.13271","title":"Variational Counterfactual Prediction under Runtime Domain Corruption","created":"2023-06-23","cited_by_count":0,"area":null},{"id":"2402.03368","title":"Empirical and Experimental Perspectives on Big Data in Recommendation Systems: A Comprehensive Survey","created":"2024-02-01","cited_by_count":0,"area":null},{"id":"2607.01387","title":"Bi-NAS: Towards Effective and Personalized Explanation for Recommender Systems via Bi-Level Neural Architecture Search","created":"2026-07-01","cited_by_count":0,"area":null}],"next_cursor":null}