Results 21 to 30 of about 2,095 (214)
Robust collaborative filtering [PDF]
Proceedings of the 2007 ACM conference on Recommender systems, 2007 The widespread deployment of recommender systems has lead to user feedback of varying quality. While some users faithfully express their true opinion, many provide noisy ratings which can be detrimental to the quality of the generated recommendations.
Bhaskar Mehta +2 more
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Causal Collaborative Filtering
Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval, 2023 Accepted by the 2023 ACM SIGIR International Conference on Theory of Information ...
Shuyuan Xu +5 more
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Collaborative Filtering Bandits [PDF]
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016 The 39th SIGIR (SIGIR 2016)
Shuai Li 0011 +2 more
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Collaborative Filtering Based on Gaussian Mixture Model and Improved Jaccard Similarity
IEEE Access, 2019 The recommender systems play an important role in our lives, since it can quickly help users find what they are interested in. Collaborative filtering has become one of the most widely used algorithms in recommender systems due to its simplicity and ...
Hangyu Yan, Yan Tang
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Neural Collaborative Filtering [PDF]
Proceedings of the 26th International Conference on World Wide Web, 2017 10 pages, 7 ...
Xiangnan He 0001 +5 more
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QoS Prediction of Web Service Based on Community Detection [PDF]
Jisuanji gongcheng, 2019 Traditional collaborative filtering methods face many problems such as data sparsity,cold start and noise influences when predicting unknown Quality of Service(QoS) values.Therefore a new QoS prediction method based on community discovery is proposed ...
LU Beini,DU Yugen
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Rating Prediction Quality Enhancement in Low-Density Collaborative Filtering Datasets
Big Data and Cognitive Computing, 2023 Collaborative filtering has proved to be one of the most popular and successful rating prediction techniques over the last few years. In collaborative filtering, each rating prediction, concerning a product or a service, is based on the rating values ...
Dionisis Margaris +3 more
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Collaborative Filtering Recommendation Algorithm Based on Representation Learning of Knowledge Graph [PDF]
Jisuanji gongcheng, 2018 To solve the problem that collaborative filtering algorithm only uses the items-users rating matrix and does not consider semantic,a collaborative filtering recommendation algorithm is presented.Using the knowledge map to represent the learning method ...
WU Xiyu,CHEN Qimai,LIU Hai,HE Chaobo
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Optimization of English Learning Platform Based on a Collaborative Filtering Algorithm
Complexity, 2021 This paper provides a detailed description of the recommendation system and collaborative filtering algorithm to optimize the English learning platform through the collaborative filtering algorithm and analyses the algorithmic principles and specific ...
Jiali Tang
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Cybernetics and Information Technologies, 2023 One of the methods most frequently used to recommend films is collaborative filtering. We examine the potential of collaborative filtering in our paper’s discussion of product suggestions.
Amutha S., Vikram Surya R.
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