Rule extraction from micro-blog using inductive logic programming

Noriaki Chikara, Miyuki Koshimura, Hiroshi Fujita, Ryuzo Hasegawa

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

Abstract

Information recommender system attempts to present information that is likely to be useful for the user. Some information recommender systems recommend persons which users are likely to follow in Twitter. Showing recommendation reason is an important role of the systems. However, current recommender systems give only simple or quantitative reasons for the recommendation. In this paper, we aim at giving precise and non-quantitative reasons which are also easy to understand. We make use of formulas in first-order predicate logic for explaining the reason. In order to build such formulas, we use Inductive Logic Programming. We succeeded to extract several useful formulas from micro-blog.

Original languageEnglish
Title of host publication2012 Spring World Congress on Engineering and Technology, SCET 2012 - Proceedings
DOIs
Publication statusPublished - Dec 12 2012
Event2012 Spring World Congress on Engineering and Technology, SCET 2012 - Xi'an, China
Duration: May 27 2012May 30 2012

Publication series

Name2012 Spring World Congress on Engineering and Technology, SCET 2012 - Proceedings

Other

Other2012 Spring World Congress on Engineering and Technology, SCET 2012
CountryChina
CityXi'an
Period5/27/125/30/12

All Science Journal Classification (ASJC) codes

  • Engineering (miscellaneous)

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    Chikara, N., Koshimura, M., Fujita, H., & Hasegawa, R. (2012). Rule extraction from micro-blog using inductive logic programming. In 2012 Spring World Congress on Engineering and Technology, SCET 2012 - Proceedings [6342076] (2012 Spring World Congress on Engineering and Technology, SCET 2012 - Proceedings). https://doi.org/10.1109/SCET.2012.6342076