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rating prediction

33 papers

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recommender system (16) collaborative filtering (10) sentiment analysis (6) matrix factorization (4) latent factor model (3) missing not at random (3) large language model (3) multi-task learning (3) item recommendation (2) generative model (2)

Papers

Coherency Improved Explainable Recommendation via Large Language Model AAAI 2025 Empathy Prediction from Diverse Perspectives ACL 2025 Value Profiles for Encoding Human Variation EMNLP 2025 Accurate and Data-Efficient Toxicity Prediction when Annotators Disagree EMNLP 2024 Enhancing Explainable Rating Prediction through Annotated Macro Concepts ACL 2024 Exploring Ordinality in Text Classification: A Comparative Study of Explicit and Implicit Techniques ACL 2024 RecGPT: Generative Pre-training for Text-based Recommendation ACL 2024 Three Studies on Predicting Word Concreteness with Embedding Vectors COLING 2024 Transparent and Scrutable Recommendations Using Natural Language User Profiles ACL 2024 Dynamic Offset Metric on Heterogeneous Information Networks for Cold-start Recommendation ACML 2023 Towards Resolving Propensity Contradiction in Offline Recommender Learning IJCAI 2022 abcbpc at SemEval-2021 Task 7: ERNIE-based Multi-task Model for Detecting and Rating Humor and Offense SemEval 2021 ASAP: A Chinese Review Dataset Towards Aspect Category Sentiment Analysis and Rating Prediction NAACL 2021 Recommend for a Reason: Unlocking the Power of Unsupervised Aspect-Sentiment Co-Extraction EMNLP 2021 Tripartite Collaborative Filtering with Observability and Selection for Debiasing Rating Estimation on Missing-Not-at-Random Data AAAI 2021 Aspect-Similarity-Aware Historical Influence Modeling for Rating Prediction COLING 2020 Trading Personalization for Accuracy: Data Debugging in Collaborative Filtering NeurIPS 2020 Unbiasing Review Ratings with Tendency Based Collaborative Filtering AACL 2020 DeepRec: An Open-source Toolkit for Deep Learning based Recommendation IJCAI 2019 Doubly Robust Joint Learning for Recommendation on Data Missing Not at Random ICML 2019 Non-Compensatory Psychological Models for Recommender Systems AAAI 2019 A^3NCF: An Adaptive Aspect Attention Model for Rating Prediction IJCAI 2018 A Data Driven Approach to Predicting Rating Scores for New Restaurants ACML 2018 Combining Deep Learning and Topic Modeling for Review Understanding in Context-Aware Recommendation NAACL 2018 Opinion Recommendation Using A Neural Model EMNLP 2017