An information recommendation agent on microblogging service

Taketoshi Ushiama, Tomoya Eguchi

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

3 Citations (Scopus)

Abstract

In this paper, we introduce an agent for recommending information to a user on Twitter, which is one of the most popular microblogging services. For recommending sufficient information for a user, it is important to extract automatically user's interest with accuracy and to collect new information which interests and attracts the user. The agent that is introduced in this paper extracts automatically user's interests from tweets on the timeline of the user and finds the web sites that would provide new information which interests the user from the tweets. The agent selects recommending information from the web sites and posts it on the user's timeline. Experimental results show that our agent is able to recommend sufficient information for users of Twitter in a natural manner.

Original languageEnglish
Title of host publicationAgent and Multi-Agent Systems
Subtitle of host publicationTechnologies and Applications - 5th KES International Conference, KES-AMSTA 2011, Proceedings
Pages573-582
Number of pages10
DOIs
Publication statusPublished - Jul 19 2011
Event5th KES International Conference on Agent and Multi-Agent Systems: Technologies and Applications, KES-AMSTA 2011 - Manchester, United Kingdom
Duration: Jun 29 2011Jul 1 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6682 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th KES International Conference on Agent and Multi-Agent Systems: Technologies and Applications, KES-AMSTA 2011
CountryUnited Kingdom
CityManchester
Period6/29/117/1/11

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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