繁荣中国 发表于 2025-3-26 21:23:21
http://reply.papertrans.cn/103/10216/1021520/1021520_31.png词根词缀法 发表于 2025-3-27 04:54:16
http://reply.papertrans.cn/103/10216/1021520/1021520_32.pngMorbid 发表于 2025-3-27 08:40:29
Exploiting User Queries for Search Result Clustering the user, the different cluster should contain the results corresponding to different possible meanings of the user query and the cluster labels should reflect these meanings. However, existing SRC algorithms often ignore the user query and group the results based just on the similarity of search rMangle 发表于 2025-3-27 12:09:24
Exploiting User Queries for Search Result Clustering the user, the different cluster should contain the results corresponding to different possible meanings of the user query and the cluster labels should reflect these meanings. However, existing SRC algorithms often ignore the user query and group the results based just on the similarity of search r勋章 发表于 2025-3-27 14:56:53
http://reply.papertrans.cn/103/10216/1021520/1021520_35.pngAlpha-Cells 发表于 2025-3-27 21:34:02
Towards Context-Aware Social Recommendation via Trust Networkstion models cannot well handle the heterogeneity and diversity of the social relationships (e.g., different friends may have different recommendations on the same items in different situations). Furthermore, few models take into account (non-social) contextual information, which has been proved to bAphorism 发表于 2025-3-28 01:07:31
Personalized Recommendation on Multi-Layer Context Graphecommender systems, but most existing approaches only focus on user and item dimensions and neglect any additional contextual information, such as time and location. In this paper, we propose a Multi-Layer Context Graph (MLCG) model which incorporates a variety of contextual information into a recomNADIR 发表于 2025-3-28 02:17:14
http://reply.papertrans.cn/103/10216/1021520/1021520_38.pngParley 发表于 2025-3-28 08:23:08
Recommending Tripleset Interlinking through a Social Network Approachipleset is a non-trivial task in the publishing process. Without prior knowledge about the entire Web of Data, a data publisher must perform an exploratory search, which demands substantial effort and may become impracticable, with the growth and dissemination of Linked Data. Aiming at alleviating t迫击炮 发表于 2025-3-28 12:46:20
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