Meta search engine system based on client side real time aggregation

Abstract

The invention discloses a meta search engine system based on client side real time aggregation. The system comprises a client software part and a server side system; and the system is characterized by transferring an aggregation search task running on a meta search engine server to the client side software so as to finish the task, thus the pressure on the search server is reduced, the number of the search servers and the requirement for network bandwidth are both reduced, and cost is saved. The form and programming language of the client side software of the system are not limited, and the client side software can be a browser plug-in unit, an ActiveX control, an Applet or a script, or exists in independent executable software; and the client side software directly transmits the search request of a user to a third-party source search engine system for real-time data retrieval, and aggregates the returned results at a client side, wherein the aggregation comprises the processes of: buffering, de-emphasizing, sorting and finally presenting the aggregation result for the user. The server side is mainly used for finishing the works of parameter setting, downloading and version updating for the client side software.

Description

technical field [0001] The invention relates to Internet search engine technology, and specifically designs a meta-search engine system based on client real-time aggregation. Background technique [0002] Observing the search results returned by Baidu and Google search engines, you will find that in the top 200 search results, about 40% of the links are the same, and about 60% of the data of each has not entered the top 200 ranking of the other. In other words, if you use the Baidu search engine and only check the top 200, you will not see about 120 search results that Google thinks should be in the top 200. If you read both search engines, you will have to read about 80 pieces of data repeatedly, which not only wastes the user's time, but also requires switching between the two search engines, which is inconvenient. The meta search engine system can integrate and deduplicate the results of multiple search engines, which can effectively solve the above problems. [0003] T...

AI Technical Summary

Problems solved by technology

This method still consumes a lot of server and hard disk resources, and it is difficult to synchronize data with third-party source search engine systems

Based on the above reasons, although there are many meta search engine systems at home and abroad, either the response speed is slow, or the results returned are too few to meet the needs of users.

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