A single-step approach to recommendation diversification

Sang Chul Lee, Sunju Park, Sang Wook Kim, Dong Kyu Chae

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

2 Scopus citations

Abstract

This paper addresses recommendation diversification. Existing diversification methods have a difficulty in dealing with the accuracy-diversity tradeoff. We propose a novel method to simultaneously optimize the user preference and diversity of k-items to be recommended.

Original languageEnglish
Title of host publication26th International World Wide Web Conference 2017, WWW 2017 Companion
PublisherInternational World Wide Web Conferences Steering Committee
Pages809-810
Number of pages2
ISBN (Electronic)9781450349147
DOIs
Publication statusPublished - 2019 Jan 1
Event26th International World Wide Web Conference, WWW 2017 Companion - Perth, Australia
Duration: 2017 Apr 32017 Apr 7

Publication series

Name26th International World Wide Web Conference 2017, WWW 2017 Companion

Other

Other26th International World Wide Web Conference, WWW 2017 Companion
CountryAustralia
CityPerth
Period17/04/317/04/7

Keywords

  • Diversification
  • E-commerce
  • Recommender system

Cite this

Lee, S. C., Park, S., Kim, S. W., & Chae, D. K. (2019). A single-step approach to recommendation diversification. In 26th International World Wide Web Conference 2017, WWW 2017 Companion (pp. 809-810). (26th International World Wide Web Conference 2017, WWW 2017 Companion). International World Wide Web Conferences Steering Committee. https://doi.org/10.1145/3041021.3054220