沒有看明白的論文---Recommendation with Temporal Dynamics Based on Sequence Similarity Search
貢獻： 解決推薦時間問題+人偏好的變化 聚類+相似性度量+推薦算法 In SeqSim, in order to improve the efficiency of similarity search, we design a new temporal clustering algorithm to transform item sequence into cluster sequence. In
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相關文章
- 1. 論文筆記Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation Modeling
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