Aug. 30, 2022, 1:11 a.m. | Zhijian Luo, Zihan Huang, Jiahui Tang, Yueen Hou, Yanzeng Gao

cs.LG updates on arXiv.org arxiv.org

At the age of big data, recommender systems have shown remarkable success as
a key means of information filtering in our daily life. Recent years have
witnessed the technical development of recommender systems, from perception
learning to cognition reasoning which intuitively build the task of
recommendation as the procedure of logical reasoning and have achieve
significant improvement. However, the logical statement in reasoning implicitly
admits irrelevance of ordering, even does not consider time information which
plays an important role in …

arxiv attention logic reasoning recommender systems self-attention systems time

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