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

6 Citations (Scopus)

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 - 2017
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
Country/TerritoryAustralia
CityPerth
Period17/4/317/4/7

Bibliographical note

Funding Information:
This research was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (No. NRF-2014R1A2A1A10054151).

Publisher Copyright:
© 2017 International World Wide Web Conference Committee (IW3C2), published under Creative Commons CC BY 4.0 License.

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Networks and Communications

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