A query-dependent ranking approach for search engines

Lian Wang Lee, Jung Yi Jiang, Chun Der Wu, Shie Jue Lee

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

11 Citations (Scopus)

Abstract

Ranking model construction is an important topic in web mining. Recently, many approaches based on the idea of "learning to rank" have been proposed for this task and most of them attempt to score all documents of different queries by resorting to a single function. In this paper, we propose a novel framework of query-dependent ranking. A simple similarity measure is used to calculate similarities between queries. An individual ranking model is constructed for each training query with corresponding documents. When a new query is asked, documents retrieved for the new query are ranked according to the scores determined by a ranking model which is combined from the models of similar training queries. A mechanism for determining combining weights is also provided. Experimental results show that this query-dependent ranking approach is more effective than other approaches.

Original languageEnglish
Title of host publication2nd International Workshop on Computer Science and Engineering, WCSE 2009
Pages259-263
Number of pages5
DOIs
Publication statusPublished - 2009 Dec 1
Event2nd International Workshop on Computer Science and Engineering, WCSE 2009 - Qingdao, China
Duration: 2009 Oct 282009 Oct 30

Publication series

Name2nd International Workshop on Computer Science and Engineering, WCSE 2009
Volume1

Conference

Conference2nd International Workshop on Computer Science and Engineering, WCSE 2009
CountryChina
CityQingdao
Period09-10-2809-10-30

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

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  • Cite this

    Lee, L. W., Jiang, J. Y., Wu, C. D., & Lee, S. J. (2009). A query-dependent ranking approach for search engines. In 2nd International Workshop on Computer Science and Engineering, WCSE 2009 (pp. 259-263). [5403423] (2nd International Workshop on Computer Science and Engineering, WCSE 2009; Vol. 1). https://doi.org/10.1109/WCSE.2009.666