Predictive mining of comparable entities from the web

Myungha Jang, Jin Woo Park, Seung Won Hwang

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

1 Citation (Scopus)

Abstract

Comparing entities is an important part of decision making. Several approaches have been reported for mining comparable entities from Web sources to improve user experience in comparing entities online. However, these efforts extract only entities explicitly compared in the corpora, and may exclude entities that occur less-frequently but potentially comparable. To build a more complete comparison machine that can infer such missing relations, here we develop a solution to predict transitivity of known comparable relations. Named CLIQUE-GROW, our approach predicts missing links given a comparable entity graph obtained from versus query logs. Our approach achieved the highest F1-score among five link prediction approaches and a commercial comparison engine provided by Yahoo!.

Original languageEnglish
Title of host publicationAAAI-12 / IAAI-12 - Proceedings of the 26th AAAI Conference on Artificial Intelligence and the 24th Innovative Applications of Artificial Intelligence Conference
Pages66-72
Number of pages7
Publication statusPublished - 2012 Nov 7
Event26th AAAI Conference on Artificial Intelligence and the 24th Innovative Applications of Artificial Intelligence Conference, AAAI-12 / IAAI-12 - Toronto, ON, Canada
Duration: 2012 Jul 222012 Jul 26

Publication series

NameProceedings of the National Conference on Artificial Intelligence
Volume1

Other

Other26th AAAI Conference on Artificial Intelligence and the 24th Innovative Applications of Artificial Intelligence Conference, AAAI-12 / IAAI-12
CountryCanada
CityToronto, ON
Period12/7/2212/7/26

All Science Journal Classification (ASJC) codes

  • Software
  • Artificial Intelligence

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    Jang, M., Park, J. W., & Hwang, S. W. (2012). Predictive mining of comparable entities from the web. In AAAI-12 / IAAI-12 - Proceedings of the 26th AAAI Conference on Artificial Intelligence and the 24th Innovative Applications of Artificial Intelligence Conference (pp. 66-72). (Proceedings of the National Conference on Artificial Intelligence; Vol. 1).