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

User Modeling and User-Adapted Interaction

Volumn 26, Issue 2-3, 2016, Pages 221-255

  Fernández Tobías, Ignacio ^a   Braunhofer, Matthias ^b   Elahi, Mehdi ^b   Ricci, Francesco ^b   Cantador, Iván ^a  

^a UNIVERSIDAD AUTÓNOMA DE MADRID   (Spain)

^b FREE UNIVERSITY OF BOZEN BOLZANO   (Italy)

Author keywords

Active learning; Cold start; Collaborative filtering; Cross domain; Recommender systems; User personality

Indexed keywords

FILTRATION; LARGE DATASET; LEARNING SYSTEMS; PREDICTIVE ANALYTICS; RECOMMENDER SYSTEMS;

ACTIVE LEARNING; COLD START; CROSS-DOMAIN; CROSS-DOMAIN RECOMMENDATIONS; NEW USER PROBLEMS; PREDICTION MODEL; USER PERSONALITIES; VIABLE SOLUTIONS;

COLLABORATIVE FILTERING;

EID: 84957558864     PISSN: 09241868     EISSN: 15731391     Source Type: Journal    
DOI: 10.1007/s11257-016-9172-z     Document Type: Article

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