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Automatic generation of topic pages using query-based aspect models

  • Microsoft USA

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Scopus citations

Abstract

We investigate the automatic generation of topic pages as an alternative to the current Web search paradigm. We describe a general framework, which combines query log analysis to build aspect models, sentence selection methods for identifying relevant and non-redundant Web sentences, and a technique for sentence ordering. We evaluate our approach on biographical topics both automatically and manually, by using Wikipedia as reference.

Original languageEnglish
Title of host publicationACM 18th International Conference on Information and Knowledge Management, CIKM 2009
Pages2049-2052
Number of pages4
DOIs
StatePublished - 2009
EventACM 18th International Conference on Information and Knowledge Management, CIKM 2009 - Hong Kong, China
Duration: Nov 2 2009Nov 6 2009

Publication series

NameInternational Conference on Information and Knowledge Management, Proceedings

Conference

ConferenceACM 18th International Conference on Information and Knowledge Management, CIKM 2009
Country/TerritoryChina
CityHong Kong
Period11/2/0911/6/09

Keywords

  • Aspect models
  • Query logs
  • Topic pages

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