Alleviating the new user problem in collaborative filtering by exploiting personality information

Article English OPEN
Fernández-Tobías, Ignacio; Braunhofer, Matthias; Elahi, Mehdi; Ricci, Francesco; Cantador, Iván;
  • Publisher: Springer Netherlands
  • Related identifiers: doi: 10.1007/s11257-016-9172-z
  • Subject: Recommender systems | Collaborative filtering | User personality | Cold-start | Cross-domain | Active learning | Informática

The final publication is available at Springer via The new user problem in recommender systems is still challenging, and there is not yet a unique solution that can be applied in any domain or situation. In this paper we an... View more
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