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Wang, Xiang
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Neural graph collaborative filtering
Wang X., He X., Wang M., Feng F., Chua T. SIGIR 2019 (Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, Paris, France, Jul 21-25, 2019) 165-174, 2019. Type: Proceedings
Typically, collaborative filtering (CF) is simply a nearest neighbor (NN) algorithm used either in its original form or in machine learning (ML), especially in supervised learning, to predict user preferences in recommender systems. He...
...
Oct 14 2020
Deep item-based collaborative filtering for top-N recommendation
Xue F., He X., Wang X., Xu J., Liu K., Hong R. ACM Transactions on Information Systems 37(3): 1-25, 2019. Type: Article
Recommender systems are an essential component in digital platforms, nudging consumers toward more efficient decision making by predicting and presenting products and services in a personalized ranking order that is of top interest. By...
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Nov 19 2019
Data-driven answer selection in community QA systems
Nie L., Wei X., Zhang D., Wang X., Gao Z., Yang Y. IEEE Transactions on Knowledge and Data Engineering 29(6): 1186-1198, 2017. Type: Article
Nie et al. present an algorithm for ranking answer candidates from all of the available answers for a new question in a community question-answering (QA) system. One simple approach is to select the most similar question and, among the...
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Oct 24 2017
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