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View all- Zhang YChen XXu DSchnabel T(2024)Introduction to the Special Issue on Causal Inference for Recommender SystemsACM Transactions on Recommender Systems10.1145/36614652:2(1-4)Online publication date: 25-Jul-2024
Since driver’s behavior is affected by driving environment and driver’s individual characteristics, it is important to understand driver’s behavior from these viewpoints. We present a novel driver’s behavior simulation that considers both the ...
User-based collaborative filtering (UBCF) is widely used in recommender systems (RSs) as one of the most successful approaches, but traditional UBCF cannot provide recommendations with satisfactory accuracy and diversity simultaneously. Covering-...
Recommender systems alleviates the problem of information overload by providing personalized suggestions to the users. In this context, recently introduced tendency based recommendation technique is proven to be more simple, intuitive and accurate than ...
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