Mining search-phrase definitions from item descriptions

Hung V. Nguyen, Hasan Davulcu

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

Abstract

In this paper, we develop a model for representing term dependence based on Markov Random Fields and present an approach based on Markov Chain Monte Carlo technique for generating phrase definitions. This approach can use a small corpus of keyword matching and a random sample of other product descriptions for an advertiser's search-phrase to effectively mine and rank alternative but highly relevant search-phrase definitions. These definitions, which are search-phrases themselves, can then be provided as alternative phrases to an advertiser.

Original languageEnglish (US)
Title of host publicationProceedings of the 2008 IEEE 24th International Conference on Data Engineering, ICDE'08
Pages1346-1348
Number of pages3
DOIs
StatePublished - Oct 1 2008
Event2008 IEEE 24th International Conference on Data Engineering, ICDE'08 - Cancun, Mexico
Duration: Apr 7 2008Apr 12 2008

Publication series

NameProceedings - International Conference on Data Engineering
ISSN (Print)1084-4627

Other

Other2008 IEEE 24th International Conference on Data Engineering, ICDE'08
CountryMexico
CityCancun
Period4/7/084/12/08

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ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Information Systems

Cite this

Nguyen, H. V., & Davulcu, H. (2008). Mining search-phrase definitions from item descriptions. In Proceedings of the 2008 IEEE 24th International Conference on Data Engineering, ICDE'08 (pp. 1346-1348). [4497551] (Proceedings - International Conference on Data Engineering). https://doi.org/10.1109/ICDE.2008.4497551