Recommendation in online shopping malls: Results and experiences

Sang Chul Lee, Sang Wook Kim, Sunju Park

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Some portal sites have been providing price-comparison services. For the price-comparison services, however, they do not provide personalized recommendations. This paper proposes a strategy of recommendations for the price-comparison services. The strategy uses the click-log data to identify user's preference. We apply the strategy to three recommendation methods. Through the experiments, we have shown the possibility of recommendation for price-comparison services with the real-world data.

Original languageEnglish
Title of host publicationProceedings of the 2013 Research in Adaptive and Convergent Systems, RACS 2013
Pages116-117
Number of pages2
DOIs
Publication statusPublished - 2013
Event2013 Research in Adaptive and Convergent Systems, RACS 2013 - Montreal, QC, Canada
Duration: 2013 Oct 12013 Oct 4

Publication series

NameProceedings of the 2013 Research in Adaptive and Convergent Systems, RACS 2013

Other

Other2013 Research in Adaptive and Convergent Systems, RACS 2013
CountryCanada
CityMontreal, QC
Period13/10/113/10/4

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

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  • Cite this

    Lee, S. C., Kim, S. W., & Park, S. (2013). Recommendation in online shopping malls: Results and experiences. In Proceedings of the 2013 Research in Adaptive and Convergent Systems, RACS 2013 (pp. 116-117). (Proceedings of the 2013 Research in Adaptive and Convergent Systems, RACS 2013). https://doi.org/10.1145/2513228.2513254