Conference proceeding
Identifying vertical search intention of query through social tagging propagation
Proceedings of the 18th international conference on world wide web, pp.1209-1210
WWW '09
04/20/2009
DOI: 10.1145/1526709.1526932
Abstract
A pressing task during the unification process is to identify a user's vertical search intention based on the user's query. In this paper, we propose a novel method to propagate social annotation, which includes user-supplied tag data, to both queries and VSEs for semantically bridging them. Our proposed algorithm consists of three key steps: query annotation, vertical annotation and query intention identification. Our algorithm, referred to as TagQV, verifies that the social tagging can be propagated to represent Web objects such as queries and VSEs besides Web pages. Experiments on real Web search queries demonstrate the effectiveness of TagQV in query intention identification.
Details
- Title: Subtitle
- Identifying vertical search intention of query through social tagging propagation
- Creators
- Ning Liu - Microsoft Research AsiaJun Yan - Microsoft Research AsiaWeiguo Fan - Virginia TechQiang Yang - Hong Kong University of Science and TechnologyZheng Chen - Microsoft Research Asia
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of the 18th international conference on world wide web, pp.1209-1210
- Publisher
- ACM
- Series
- WWW '09
- DOI
- 10.1145/1526709.1526932
- Language
- English
- Date published
- 04/20/2009
- Academic Unit
- Business Analytics
- Record Identifier
- 9984380546202771
Metrics
3 Record Views