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	Wang, Xiang     Options: All Media Types Journals Proceedings Div Books Whole Books Other Date Reviewed Title Author Publisher Published Date Descending Ascending Date Reviewed     1 - 3 of 3 reviews       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...... 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...... Oct 24 2017
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