User-Item Reciprocity in Recommender Systems: Incentivizing the Crowd
| Autor: | Said, A., Larson, M., Tikk, D., Cremonesi, P., Karatzoglou, A., Frank Hopfgartner, Turrin, R., Geurts, J. |
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| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
recommender system
popular mean 020204 information systems mobile need 0202 electrical engineering electronic engineering information engineering user-item reciprocity timely information 020206 networking & telecommunications digital revolution 02 engineering and technology ddc:004 004 Datenverarbeitung Informatik |
| Zdroj: | UMAP ProS'14: Proceedings of the UMAP Project Synergy Workshop Scopus-Elsevier |
| Popis: | Data consumption has changed significantly in the last 10\ud years. The digital revolution and the Internet has brought an abundance\ud of information to users. Recommender systems are a popular means of\ud finding content that is both relevant and personalized. However, today’s\ud users require better recommender systems, able of producing continuous\ud data feeds keeping up with their instantaneous and mobile needs. The\ud CrowdRec project addresses this demand by providing context-aware,\ud resource-combining, socially-informed, interactive and scalable recommendations.\ud The key insight of CrowdRec is that, in order to achieve\ud the dense, high-quality, timely information required for such systems, it\ud is necessary to move from passive user data collection, to more active\ud techniques fostering user engagement. For this purpose, CrowdRec activates\ud the crowd, soliciting input and feedback from the wider community |
| Databáze: | OpenAIRE |
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