Agent-based intelligent meta search engine system

Abstract

The invention discloses an Agent-based intelligent meta search engine system. The system comprises a user personalized Agent, a mobile Agent, a scheduling management Agent, a retrieval and synthesis Agent, and a public interest blackboard, wherein the user personalized Agent is used for studying user retrieval interest knowledge, and supports personalized and group pushing service; the mobile Agent is used for excavating the client records, interacting with the user personalized Agent, and updating the user interest knowledge; the scheduling management Agent is used for generating a personalized scheduling strategy; and the retrieval and synthesis Agent interacts with the scheduling management Agent and the user personalized Agent to provide a personalized search result for the user. The Agent-based intelligent meta search engine system provided by the invention can realize intelligent searching, scheduling and result synthesis of the meta search engine based on the autonomy, study characteristics and interoperability of the Agents, and has the advantages of high search coverage rate, personalization and high intelligent degree.

Description

technical field [0001] The invention belongs to the technical field of information retrieval, in particular to an Agent-based intelligent meta-search engine system in the field of Internet search. The present invention intelligently processes the user's query content, the scheduling of member search engines, and the synthesis of retrieval results through the user's personalized interest preference for the process of the user's search for information, so as to realize the search for the required information by the user in massive network resources function. Background technique [0002] At present, with the rapid development of Internet technology, search engines have become an important tool for information retrieval on the Internet. However, the current search engines have the following three problems: low information coverage and low overlap rate of search results from different search engines; users' "information" query needs account for the majority, and a single search...

AI Technical Summary

Problems solved by technology

However, the current search engines have the following three problems: low information coverage and low overlap rate of search results from different search engines; users' "information" query needs account for the majority, and a single search engine is difficult to meet the needs; search engine intelligence level Low, lack of interest in active learning and information push capabilities, resulting in a low level of personalized service

The deficiencies in this patent application are: although it records user interests, user interests are only used to sort search results, ignoring the intelligent scheduling of member search engines, ignoring the relationship between users, and failing to Leveraging the Implied Interest Influence of Neighbors on the Web on Target Users: Recommendable Group Query and Retrieval Results

In addition, the system also lacks intelligent features such as autonomy, perception and learning

Therefore, this patent does not fully explore the embodiment of intelligence in meta search engines

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