Rule extraction from micro-blog using inductive logic programming

Noriaki Chikara; Miyuki Koshimura; Hiroshi Fujita; Ryuzo Hasegawa

doi:10.1109/SCET.2012.6342076

Rule extraction from micro-blog using inductive logic programming

Noriaki Chikara, Miyuki Koshimura, Hiroshi Fujita, Ryuzo Hasegawa

Intelligence Science

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	2012 Spring World Congress on Engineering and Technology, SCET 2012 - Proceedings
DOIs	https://doi.org/10.1109/SCET.2012.6342076
Publication status	Published - 2012
Event	2012 Spring World Congress on Engineering and Technology, SCET 2012 - Xi'an, China Duration: May 27 2012 → May 30 2012

Publication series

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

Other

Other	2012 Spring World Congress on Engineering and Technology, SCET 2012
Country/Territory	China
City	Xi'an
Period	5/27/12 → 5/30/12

All Science Journal Classification (ASJC) codes

Engineering (miscellaneous)

Access to Document

10.1109/SCET.2012.6342076

Cite this

Rule extraction from micro-blog using inductive logic programming. / Chikara, Noriaki; Koshimura, Miyuki; Fujita, Hiroshi et al.

2012 Spring World Congress on Engineering and Technology, SCET 2012 - Proceedings. 2012. 6342076 (2012 Spring World Congress on Engineering and Technology, SCET 2012 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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, 2012 Spring World Congress on Engineering and Technology, SCET 2012, Xi'an, China, 5/27/12. https://doi.org/10.1109/SCET.2012.6342076

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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.",

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Rule extraction from micro-blog using inductive logic programming

Abstract

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Other

All Science Journal Classification (ASJC) codes

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