Profiling vs. Time vs. Content: What does Matter for Top-k Publication Recommendation based on Twitter Profiles? - An Extended Technical Report

Other literature type, Conference object, Preprint English OPEN
Nishioka, Chifumi; Scherp, Ansgar;

<p>So far it is unclear how different factors of a scientific publication recommender system based on users' tweets have an influence on the recommendation performance. We examine three different factors, namely profiling method, temporal decay, and richness of content.... View more
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