HPRS: A profitability based recommender system

Mu-Chen Chen*, Long Sheng Chen, Fei Hao Hsu, Yuanjia Hsu, Hsiao Ying Chou

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

In electronic commerce, recommender systems are popularly being used to help enterprises for satisfying customers' individually diverse preferences. These systems learn about user preferences over time and automatically suggest products that fit the learned model of user preferences. In tradition, recommendations are provided to customers based on purchase probability and customers' preferences, without considering the profitability factor for sellers. This work presents a new profitability-based recommender system, HPRS (Hybrid Perspective Recommender System), which attempts to integrate the profitability factor into the traditional recommender systems. Comparisons between our proposed system and traditional system which only considers the purchase probability clarify the advantages of our system. The experimental results show that the proposed HPRS can increase profit from cross-selling without compromising recommendation accuracy.

Original languageEnglish
Title of host publicationIEEM 2007
Subtitle of host publication2007 IEEE International Conference on Industrial Engineering and Engineering Management
Pages219-223
Number of pages5
DOIs
StatePublished - 1 Dec 2007
Event2007 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2007 - , Singapore
Duration: 2 Dec 20074 Dec 2007

Publication series

NameIEEM 2007: 2007 IEEE International Conference on Industrial Engineering and Engineering Management

Conference

Conference2007 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2007
CountrySingapore
Period2/12/074/12/07

Keywords

  • Collaborative filtering
  • Cross-selling
  • Electronic commerce
  • Personalization
  • Product profitability
  • Recommender systems

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