Mobile information recommendation using multi-criteria decision making with bayesian network

Han Saem Park, Moon Hee Park, Sung Bae Cho

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

The advancement of network technology and the popularization of the Internet lead to increased interest in information recommendation. This paper proposes a group recommendation system that takes the preferences of group users in mobile environment and applies the system to recommendation of restaurants. The proposed system recommends the restaurants by considering various preferences of multiple users. To cope with the uncertainty in mobile environment, we exploit Bayesian network, which provides reliable performance and models individual user's preference. Also, Analytical Hierarchy Process of multi-criteria decisionmaking method is used to estimate the group users' preference from individual users' preferences. Experiments in 10 different situations provide a comparison of the proposed method with random recommendation, simple rule-based recommendation and neural network recommendation, and confirm that the proposed method is useful with the subjective test.

Original languageEnglish
Pages (from-to)317-338
Number of pages22
JournalInternational Journal of Information Technology and Decision Making
Volume14
Issue number2
DOIs
Publication statusPublished - 2015 Mar 25

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Recommender systems
Bayesian networks
Decision making
Internet
Neural networks
Experiments
Uncertainty

All Science Journal Classification (ASJC) codes

  • Computer Science (miscellaneous)

Cite this

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Mobile information recommendation using multi-criteria decision making with bayesian network. / Park, Han Saem; Park, Moon Hee; Cho, Sung Bae.

In: International Journal of Information Technology and Decision Making, Vol. 14, No. 2, 25.03.2015, p. 317-338.

Research output: Contribution to journalArticle

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