Representative-based diversity retrieval

Chein Shung Hwang, Nai Wen Kuo, Ping Yu

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

2 Citations (Scopus)

Abstract

Recently, case-based reasoning has been widely used in electronic commerce by providing product recommendations that are most similar to user's needs. However in some cases, the most similar recommendations are not necessary the ones most acceptable or useful. There is a growing awareness of the need for providing alternatives to similarity-based retrieval, alternatives that attempt to improve the recommendation diversity. In this paper, we present a new retrieval algorithm which is able to optimize the trade-off between similarity and diversity. Experimental results show that the proposed algorithm can achieve a better overall quality than other approaches.

Original languageEnglish
Title of host publication3rd International Conference on Innovative Computing Information and Control, ICICIC'08
DOIs
Publication statusPublished - Sep 30 2008
Externally publishedYes
Event3rd International Conference on Innovative Computing Information and Control, ICICIC'08 - Dalian, Liaoning, China
Duration: Jun 18 2008Jun 20 2008

Conference

Conference3rd International Conference on Innovative Computing Information and Control, ICICIC'08
CountryChina
CityDalian, Liaoning
Period6/18/086/20/08

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ASJC Scopus subject areas

  • Computer Science Applications
  • Software
  • Control and Systems Engineering

Cite this

Hwang, C. S., Kuo, N. W., & Yu, P. (2008). Representative-based diversity retrieval. In 3rd International Conference on Innovative Computing Information and Control, ICICIC'08 [4603344] https://doi.org/10.1109/ICICIC.2008.444