Joint Modeling of Citation Networks and User Preferences for Academic Tagging Recommender System
Weiming Huang,
Baisong Liu,
Zhaoliang Wang
Abstract:In the tag recommendation task on academic platforms, existing methods disregard users' customized preferences in favor of extracting tags based just on the content of the articles. Besides, it uses co-occurrence techniques and tries to combine nodes' textual content for modelling. They still do not, however, directly simulate many interactions in network learning. In order to address these issues, we present a novel system that more thoroughly integrates user preferences and citation networks into article lab… Show more
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