A multi-view deep learning approach for cross domain user modeling in recommendation systems

WWW 2015 - Proceedings of the 24th International Conference on World Wide Web

Volumn , Issue , 2015, Pages 278-288

  Elkahky, Ali ^a   Song, Yang ^b   He, Xiaodong ^b  

^a Department of Earth and Environmental Sciences   (United States)

^b MICROSOFT RESEARCH   (United States)

Author keywords

Deep Learning; Multi View Learning; Recommendation System; UserModeling

Indexed keywords

ONLINE SYSTEMS; RECOMMENDER SYSTEMS; SCALABILITY; WORLD WIDE WEB;

DEEP LEARNING; DIFFERENT DOMAINS; MULTI-VIEW LEARNING; NEWS RECOMMENDATION; STATE-OF-THE-ART ALGORITHMS; SYSTEM SCALABILITY; USER BEHAVIOR PATTERNS; USERMODELING;

BEHAVIORAL RESEARCH;

EID: 84968853449     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2736277.2741667     Document Type: Conference Paper

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