An approach to effective recommendation considering user preference and diversity simultaneously

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

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

This paper addresses recommendation diversification. Existing diversification methods have difficulty in dealing with the tradeoff between accuracy and diversity. We point out the root of the problem in diversification methods and propose a novel method that can avoid the problem. Our method aims to find an optimal solution of the objective function that is carefully designed to consider user preference and the diversity among recommended items simultaneously. In addition, we propose an item clustering and a greedy approximation to achieve efficiency in recommendation.

Original languageEnglish
Pages (from-to)244-248
Number of pages5
JournalIEICE Transactions on Information and Systems
VolumeE101D
Issue number1
DOIs
StatePublished - Jan 2018

Bibliographical note

Publisher Copyright:
Copyright © 2018 The Institute of Electronics, Information and Communication Engineers

Keywords

  • Diversification
  • E-commerce
  • Recommender system

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