E-commerce recommendation with personalized promotion

RecSys 2015 - Proceedings of the 9th ACM Conference on Recommender Systems

Volumn , Issue , 2015, Pages 219-225

  Zhao, Qi ^a   Zhang, Yi ^a   Friedman, Daniel ^b   Tan, Fangfang ^b  

^a University of California Santa Cruz   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Consumer; Crowdsourcing; E commerce; Promotion; Recommender system

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMMERCE; COSTS; CROWDSOURCING; FORECASTING; LEARNING ALGORITHMS; LEARNING SYSTEMS; RECOMMENDER SYSTEMS; SALES;

CONSUMER; CONSUMER SATISFACTIONS; CONSUMER'S PREFERENCES; E-COMMERCE RECOMMENDATIONS; E-COMMERCE RECOMMENDER SYSTEM; E-COMMERCE WEBSITES; PROMOTION; WILLINGNESS TO PAY;

ELECTRONIC COMMERCE;

EID: 84962885906     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2792838.2800178     Document Type: Conference Paper

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