Identifying popular search goals behind search queries to improve web search ranking

Ting Xuan Wang, Wen-Hsiang Lu

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

3 Citations (Scopus)

Abstract

Web users usually have a certain search goal before they submit a search query. However, many laypersons can't transform their search goals into suitable queries. Thus, understanding original search goals behind a query is very important for search engines. In the past decade, many researches focus on classifying search goals behind a query into different search-goal categories. In fact, there may be more than one search goal behind a certain query. We thus propose a novel Popular-Search-Goal-based Search Model to effectively identify search goals by the features extracted from search-result snippets and click-through data. Furthermore, we proposed a Search-Goal-based Ranking Model which exploits the identified search goals to re-rank the search result. The experimental result shows our proposed model can effectively identify the search goals behind a search query (achieve precision of 0.94) and enhance the search result ranking (achieve precision of 0.72 for top-1 returned snippet).

Original languageEnglish
Title of host publicationInformation Retrieval Technology - 7th Asia Information Retrieval Societies Conference, AIRS 2011, Proceedings
Pages250-262
Number of pages13
DOIs
Publication statusPublished - 2011 Dec 28
Event7th Asia Information Retrieval Societies Conference, AIRS 2011 - Dubai, United Arab Emirates
Duration: 2011 Dec 182011 Dec 20

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7097 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other7th Asia Information Retrieval Societies Conference, AIRS 2011
CountryUnited Arab Emirates
CityDubai
Period11-12-1811-12-20

Fingerprint

Web Search
Ranking
Query
Search engines
Search Engine

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Wang, T. X., & Lu, W-H. (2011). Identifying popular search goals behind search queries to improve web search ranking. In Information Retrieval Technology - 7th Asia Information Retrieval Societies Conference, AIRS 2011, Proceedings (pp. 250-262). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7097 LNCS). https://doi.org/10.1007/978-3-642-25631-8_23
Wang, Ting Xuan ; Lu, Wen-Hsiang. / Identifying popular search goals behind search queries to improve web search ranking. Information Retrieval Technology - 7th Asia Information Retrieval Societies Conference, AIRS 2011, Proceedings. 2011. pp. 250-262 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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abstract = "Web users usually have a certain search goal before they submit a search query. However, many laypersons can't transform their search goals into suitable queries. Thus, understanding original search goals behind a query is very important for search engines. In the past decade, many researches focus on classifying search goals behind a query into different search-goal categories. In fact, there may be more than one search goal behind a certain query. We thus propose a novel Popular-Search-Goal-based Search Model to effectively identify search goals by the features extracted from search-result snippets and click-through data. Furthermore, we proposed a Search-Goal-based Ranking Model which exploits the identified search goals to re-rank the search result. The experimental result shows our proposed model can effectively identify the search goals behind a search query (achieve precision of 0.94) and enhance the search result ranking (achieve precision of 0.72 for top-1 returned snippet).",
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Wang, TX & Lu, W-H 2011, Identifying popular search goals behind search queries to improve web search ranking. in Information Retrieval Technology - 7th Asia Information Retrieval Societies Conference, AIRS 2011, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7097 LNCS, pp. 250-262, 7th Asia Information Retrieval Societies Conference, AIRS 2011, Dubai, United Arab Emirates, 11-12-18. https://doi.org/10.1007/978-3-642-25631-8_23

Identifying popular search goals behind search queries to improve web search ranking. / Wang, Ting Xuan; Lu, Wen-Hsiang.

Information Retrieval Technology - 7th Asia Information Retrieval Societies Conference, AIRS 2011, Proceedings. 2011. p. 250-262 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7097 LNCS).

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

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Wang TX, Lu W-H. Identifying popular search goals behind search queries to improve web search ranking. In Information Retrieval Technology - 7th Asia Information Retrieval Societies Conference, AIRS 2011, Proceedings. 2011. p. 250-262. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-25631-8_23