Extending Open Directory Project to represent user interests

Seulgi So, Jung Hyun Lee, Daoun Jung, JongWoo Ha, Sang-Geun Lee

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

Abstract

Effective inference of user interests is crucial to personalization. Utilizing the Open Directory Project (ODP) categories is an effective way to infer user interests, which represents user interests in the form of ODP categories, i.e., nouns. In this paper, we build a knowledge base to represent user interests in the form of (noun, verb) pairs. We expect that this approach will enable us to represent user interests more precisely, since verbs clarify the context of nouns. To this end, we develop a verb extraction engine that extends ODP categories with their related verbs. It employs various information sources to automatically identify a set of related verbs for an arbitrary ODP category. Thus, we obtain the extended ODP categories in the form of (noun, verb) pairs that will be utilized for various personalization services. The experimental results show the efficacy of our verb extraction engine.

Original languageEnglish
Title of host publication27th Annual ACM Symposium on Applied Computing, SAC 2012
Pages354-359
Number of pages6
DOIs
Publication statusPublished - 2012
Event27th Annual ACM Symposium on Applied Computing, SAC 2012 - Trento, Italy
Duration: 2012 Mar 262012 Mar 30

Publication series

NameProceedings of the ACM Symposium on Applied Computing

Other

Other27th Annual ACM Symposium on Applied Computing, SAC 2012
Country/TerritoryItaly
CityTrento
Period12/3/2612/3/30

Keywords

  • information source
  • open directory project
  • personalization
  • user interest

ASJC Scopus subject areas

  • Software

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