Boosting item findability: Bridging the semantic gap between search phrases and item information

Hasan Davulcu, Hung V. Nguyen, Viswanathan Ramachandran

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

1 Scopus citations

Abstract

Most search engines do their text query and retrieval based on keyword phrases. However, publishers cannot anticipate all possible ways in which users search for the items in their documents. In fact, many times, there may be no direct keyword match between a search phrase and descriptions of items that are perfect "hits" for the search. We present a highly automated solution to the problem of bridging the semantic gap between item information and search phrases. Our system can learn rule-based definitions that can be ascribed to search phrases with dynamic connotations by extracting structured item information from product catalogs and by utilizing a frequent itemset mining algorithm. We present experimental results for a realistic e-commerce domain. Also, we compare our rule-mining approach to vector-based relevance feedback retrieval techniques and show that our system yields definitions that are easier to validate and perform better.

Original languageEnglish (US)
Title of host publicationICEIS 2005 - Proceedings of the 7th International Conference on Enterprise Information Systems
Pages48-55
Number of pages8
StatePublished - Dec 1 2005
Event7th International Conference on Enterprise Information Systems, ICEIS 2005 - Miami, FL, United States
Duration: May 25 2005May 28 2005

Publication series

NameICEIS 2005 - Proceedings of the 7th International Conference on Enterprise Information Systems

Other

Other7th International Conference on Enterprise Information Systems, ICEIS 2005
CountryUnited States
CityMiami, FL
Period5/25/055/28/05

Keywords

  • Data mining
  • E-commerce
  • Frequent itemsets
  • Information extraction
  • Information retrieval
  • Relevance feedback
  • Web data

ASJC Scopus subject areas

  • Management Information Systems
  • Information Systems

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  • Cite this

    Davulcu, H., Nguyen, H. V., & Ramachandran, V. (2005). Boosting item findability: Bridging the semantic gap between search phrases and item information. In ICEIS 2005 - Proceedings of the 7th International Conference on Enterprise Information Systems (pp. 48-55). (ICEIS 2005 - Proceedings of the 7th International Conference on Enterprise Information Systems).