Presentation 2011-11-21
Rule Extraction from Twitter using Inductive Logic Programming
Noriaki CHIKARA, Miyuki KOSHIMURA, Hiroshi FUJITA, Ryuzo HASEGAWA,
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Abstract(in English) There are a lot of information recommender systems on the Web. These systems aim to find and provide useful information for the users. For example, many online shopping sites recommend merchandise which the user is likely to purchase. However, practical users do not always use these recommendations. In order to make an apt recommendation for the user, we need to give a plausible reason for it. However, the almost all existing systems give very simple or quantitative reasons. This paper aims to present clear and non-quantitative recommendation reasons which everybody is easy to understand. We make use of first order predicate logic formulas generated by Inductive Logic Programming (ILP) for the aim. As a learning experience, we extract several first order rules from twitters with ILP in order to recommend twitter users which the Twitter users are likely to be interested in.
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Keyword(in English) Inductive Logic Programming / Twitter / Rule Extraction / Information Recommender System
Paper # AI2011-25
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Conference Information
Committee AI
Conference Date 2011/11/14(1days)
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Paper Information
Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Rule Extraction from Twitter using Inductive Logic Programming
Sub Title (in English)
Keyword(1) Inductive Logic Programming
Keyword(2) Twitter
Keyword(3) Rule Extraction
Keyword(4) Information Recommender System
1st Author's Name Noriaki CHIKARA
1st Author's Affiliation Department of Computer Science and Electronic Engineering, Tokuyama College of Technology()
2nd Author's Name Miyuki KOSHIMURA
2nd Author's Affiliation Faculty of Information Science and Electrical Engineering, Kyushu University
3rd Author's Name Hiroshi FUJITA
3rd Author's Affiliation Faculty of Information Science and Electrical Engineering, Kyushu University
4th Author's Name Ryuzo HASEGAWA
4th Author's Affiliation Faculty of Information Science and Electrical Engineering, Kyushu University
Date 2011-11-21
Paper # AI2011-25
Volume (vol) vol.111
Number (no) 310
Page pp.pp.-
#Pages 3
Date of Issue