Profiling vs. Time vs. Content: What Does Matter for Top-k Publication Recommendation Based on Twitter Profiles?
Nishioka, Chifumi; Scherp, Ansgar;
- Publisher: ACM Press
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- Subject: recommender system | zenodo | user profiling | Computer Science - Digital Libraries | Uncategorized | social media | Computer Science - Information Retrieval
<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