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Context-Aware Co-attention Neural Network for Service Recommendations
2019
2019 IEEE 35th International Conference on Data Engineering Workshops (ICDEW)
Publisher IEEE Link to online version Abstract-Context-aware recommender systems are able to produce more accurate recommendations by harnessing contextual information, such as consuming time and location. Further, user reviews as an important information source, providing valuable information about users' preferences, items' aspects, and implicit contextual features, could be used to enhance the embeddings of users, items, and contexts. However, few works attempt to incorporate these two types
doi:10.1109/icdew.2019.00-11
dblp:conf/icde/LiDC19
fatcat:6iuq5zni7bc6pltewmcdp6aab4