Multi-interest communities and community-based recommendation. Authors: Wang, Fang. Keywords: Community organisation;recommendation;association analysis.
Interest community-based recommendation via cognitive ...
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To address this issue, we present an interest community-based recommendation approach based on cognitive similarity and adaptive evolutionary clustering, ...
The main advantage of the proposed approach is that it considers multiple criteria for candidate selection including the number of common communities, the ...
Jun 2, 2023 · Representing users by multiple embeddings greatly improves the recommenda- tion quality, but not every existing recommendation model can easily ...
RS is personalized information filtering and it is applied to identify a set of interested items based on the users' behaviors [3]. In order to improve the ...
Multi-interest communities and community-based recommendation. 2007. Google ... A multi-interests model of recommendation system based on customer life cycle.
We propose a recommendation method in which a user can find new interests that are partially similar to the user's taste. Partial similarity is an aspect of the ...
Apr 17, 2019 · We propose the Multi-Interest Network with. Dynamic routing (MIND) for dealing with user's diverse interests in the matching stage. Specifically ...
Missing: Communities Community-
Louvian community detection applied on social network from the Internet Movie Database to provide personalized recommendations based on the evolved communities.
Balancing Scientific and Community Interests in Community-Based ...
www.ncbi.nlm.nih.gov › PMC3074227
This essay explores the potential conflict between scientific and community interests in several different stages of community-based participatory research, ...