A meta-search group recommendation mechanism based on user intent identification
Pages 102 - 106
Abstract
Recommendation mechanism is one of the most important applications for web service, and it has also been widely used in the field of information retrieval. However, traditional recommender system cannot be deployed directly in the meta-search environment. This is because that the meta-search environment doesn't have data resources owned by traditional search engines such as Internet corpus. In the process of the research on the intelligent method and technology of meta-search engine based on Agent, according to its features and user query log, this paper proposes a recommendation mechanism based on user intent identification, which builds both the common task blackboard model and the query-flow graph model in order to make full use of user behavior information generated under meta-search engine environment. Finally, the application of the mechanism in the intelligent meta-search engine based on Agent and the test data are given, which prove the mechanism to a certain extent.
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Index Terms
- A meta-search group recommendation mechanism based on user intent identification
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February 2017
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 26 February 2017
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- Research-article
Funding Sources
- National Natural Science Foundation of China
- Fundamental Research Funds for the Central Universities of China
- Pre-Research Project of the Thirteenth Five-Year-Plan of China
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ICSCA 2017
ICSCA 2017: 2017 6th International Conference on Software and Computer Applications
February 26 - 28, 2017
Bangkok, Thailand
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