Collaborative denoising auto-encoders for top-N recommender systems

WSDM 2016 - Proceedings of the 9th ACM International Conference on Web Search and Data Mining

Volumn , Issue , 2016, Pages 153-162

  Wu, Yao ^a   DuBois, Christopher ^b   Zheng, Alice X ^b   Ester, Martin ^a  

^a SIMON FRASER UNIVERSITY   (Canada)

^b Dato Inc   (United States)

Author keywords

Collaborative filtering; Denoising auto encoders; Recommender systems

Indexed keywords

DATA MINING; HUMAN COMPUTER INTERACTION; INFORMATION RETRIEVAL; LEARNING SYSTEMS; RECOMMENDER SYSTEMS; WEBSITES; WORLD WIDE WEB;

AUTO ENCODERS; DE-NOISING; EVALUATION METRICS; FLEXIBLE COMPONENTS; PERFORMANCE BASED; REAL-WORLD; RECOMMENDATION METHODS; STATE OF THE ART;

COLLABORATIVE FILTERING;

EID: 84964403193     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2835776.2835837     Document Type: Conference Paper

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