The credibility of posted information in a recommender system based on a map

Koji Yamamoto, Daisuke Katagami, Katsumi Nitta, Akira Aiba, Hitoshi Kuwata

Research output: Contribution to journalArticle

Abstract

In this paper, we propose a method for estimating the credibility of the posted information from users. We incorporate this method in a system which recommends the route and destination using other user's posted information. Users can post information, and other users can refer to them. These information includes a picture, comment, genre, expiration date, and so on. The system displays these information on the map. Since posted information can include subjective information from various perspectives, we can't trust all of the postings as they are. We propose and integrate two factors of credibility of posted information. First, credibility of voting by other users is determined based on the posting user's own credibility and other users' credibility who approved or disapproved her/his posting information. The other is credibility of geographic posting tendency of the users. This credibility is determined based on dispersion of posted information on the map. From experimental results, we concluded our method measures credibility of posted information validly.

Original languageEnglish
Pages (from-to)276-286
Number of pages11
JournalTransactions of the Japanese Society for Artificial Intelligence
Volume21
Issue number3
DOIs
Publication statusPublished - 2006 Apr 4

Keywords

  • Credibility
  • GIS
  • Recommender system

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence

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