A New Generation Method of an User Profile for Information Filtering on the Internet
ICOIN '98 Proceedings of the 13th International Conference on Information Networking
A study of results overlap and uniqueness among major web search engines
Information Processing and Management: an International Journal
Aggregation of web search engines based on users' preferences in WebFusion
Knowledge-Based Systems
Evaluation of result merging strategies for metasearch engines
WISE'05 Proceedings of the 6th international conference on Web Information Systems Engineering
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Addressing the problems that available search engines seldom consider the personalized needs of users with low precision rate and the discrete retrieval results, an Agent-based intelligent meta-search engine model is proposed. Agent technology is used, which makes the system more intelligent. In order to achieve personalized retrieval analysis, the model uses a four-tuple user interest model and improved text classification model. A retrieval result synthesis strategy is proposed based on the factors of initial positions, related degree of retrieval queries and abstracts, and weight of individual search engines. And result consistence sorting is also realized. The experimental results show that the proposed model has a preferably performance.