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Recommender systems play a pivotal role in helping users navigate an overwhelming selection of products and services.
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Semantic audio content-based music recommendation and visualization based on user preference examples
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Collaborative Filtering beyond the User-Item Matrix: A Survey of the State of the Art and Future Challenges
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Recommendation Systems: Principles, methods and evaluation
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MAPS: A Multi Aspect Personalized POI Recommender System. In Proceedings of the 10th ACM Conference on Recommender Systems . 281–284
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Convolutional Matrix Factorization for Document Context-Aware Recommendation. In Proceedings of the 10th ACM Conference on Recommender Systems . 233–240
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Rating-boosted Latent Topics: Understanding Users and Items with Ratings and Reviews. In IJCAI , Vol. 16. 2640–2646
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Recommender Systems Meet Finance: a Literature Review. In Proc. 2nd International. Workshop on Personalization Recommender Systems, pages=1–10, year=2016
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Aspect-based Recommendations: Recommending items with the most valuable aspects based on user reviews. In Proceedings of the 23rd ACM SIGKDD Int. Conf. on K. Discovery and Data Mining . 717–725
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Transnets: Learning to transform for recommendation. In Proceedings of the eleventh ACM Conference on Recommender Systems . 288–296
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Learning to Generate Product Reviews from Attributes. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers . 623–632
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Context-Aware Recommender System: A Review of Recent Developmental Process and Future Research Direction
Khalid Haruna, Maizatul Akmar Ismail, Suhendroyono Suhendroyono, Damiasih Damiasih, Adi Cilik Pierewan, Haruna Chiroma, and Tutut Herawan. 2017 · 2017
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Muhammad Murad Khan, Roliana Ibrahim, and Imran Ghani. 2017 · 2017
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Adversarial Distillation for Efficient Recommendation with External Knowledge
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An ensemble-based hotel recommender system using sentiment analysis and aspect categorization of hotel reviews
Biswarup Ray, Avishek Garain, and Ram Sarkar. 2021 · 2021
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Felipe G Contratres, Solange N Alves-Souza, Lucia Vilela Leite Filgueiras, and Luiz S DeSouza. 2018 · 2018
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Neural Gaussian Mixture Model for Review-Based Rating Prediction. In Proceedings of the 12th ACM Conference on Recommender Systems . 113–121
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Recommendation system development for fashion retail e-commerce
Hyunwoo Hwangbo, Yang Sok Kim, and Kyung Jin Cha. 2018 · 2018
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Coevolutionary Recommendation Model: Mutual Learning between Ratings and Reviews. In Proceedings of the 2018 World Wide Web Conference . 773–782
Yichao Lu, Ruihai Dong, and Barry Smyth. 2018 · 2018
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An Attentive Interaction Network for Context-aware Recommendations. In Proceedings of the 27th ACM International Conference on Information and Knowledge Management . 157–166
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Sentiment-Based Model for Recommender Systems. In 2018 4th International Conference on Information Retrieval and Knowledge Management (CAMP) . IEEE, 1–6
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A call for clarity in reporting BLEU scores
Matt Post. 2018 · 2018
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Counterfactual Explainable Recommendation. In Proceedings of the 30th ACM International Conference on Information & Knowledge Management . 1784–1793
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A Survey on Session-based Recommender Systems
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Counterfactual Review-based Recommendation. In Proceedings of the 30th ACM International Conference on Information & Knowledge Management . 2231–2240
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Lightweight Unbiased Multi-teacher Ensemble for Review-based Recommendation. In Proceedings of the 31st ACM International Conference on Information & Knowledge Management . 4620–4624
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A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions
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