Files and links (1)
SubmittedOpen Access (License Unspecified), Open
Conference proceeding
Mining related queries from search engine query logs
Proceedings of the 15th international conference on World Wide Web, pp 943-944
23 May 2006
Abstract
In this work we propose a method that retrieves a list of related queries given an initial input query. The related queries are based on the query log of previously issued queries by human users, which can be discovered using our improved association rule mining model. Users can use the suggested related queries to tune or redirect the search process. Our method not only discovers the related queries, but also ranks them according to the degree of their relatedness. Unlike many other rival techniques, it exploits only limited query log information and performs relatively better on queries in all frequency divisions.
Metrics
10 Record Views
16 citations in Scopus
Details
- Title
- Mining related queries from search engine query logs
- Creators
- Xiaodong Shi - Chinese University of Hong KongChristopher C. Yang - Chinese University of Hong Kong
- Publication Details
- Proceedings of the 15th international conference on World Wide Web, pp 943-944
- Conference
- WWW06: The 15th International World Wide Web Conference 2006, 15th (2006)
- Series
- ACM Conferences
- Publisher
- ACM
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Scopus ID
- 2-s2.0-34250626876
- Other Identifier
- 991021855188004721