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View all- Duan GDu YShang Y(2024)Research on Personalized Recommendation of Complementary Products Based on Demand Cross-Elasticity and HypergraphsElectronics10.3390/electronics1323485113:23(4851)Online publication date: 9-Dec-2024
Recommender systems filter information to meet users’ personalized interests actively. Existing graph-based models typically extract users’ interests from a heterogeneous interaction graph. They do not distinguish learning between users and items,...
Traditionally, the search and recommendation tasks are performed separately, by distinct models. Having a unique model for the two tasks is however particularly appealing for platforms that offer search and recommendation services to a shared user ...
Hashtags, terms prefixed by a hash-symbol #, are widely used and inserted anywhere within short messages (tweets) on micro-blogging systems as they present rich sentiment information on topics that people are interested in. In this paper, we focus on ...
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