Personalized meta-search engine searched result merging and sorting method

Abstract

The invention discloses a personalized meta-search engine searched result merging and sorting method. The method is realized through the following steps: (1) establishing user system interests; (2) searching documents by search engines; (3) merging result documents of member search engines; (4) dividing interest categories of the result documents; (5) obtaining personalized sorting weights; (6) displaying search results; and (7) updating the user system interests. According to the method, the number of the member search engines, the sum of the member search engine results, the number of same result documents and the position information of result documents in each member search engine are considered at the same time, and the influences, from the user interests with different personalization degrees, on the result sorting is combined, so as to realize the more correct and more efficient user personalized search experience of meta-search engines.

Description

technical field [0001] The invention belongs to the technical field of information processing, and further relates to a method for synthesizing and sorting search results of a personalized meta-search engine in the technical fields of Internet information retrieval and personalized service. The invention can be applied to a method related to satisfying user's personalized retrieval requirements in the field of meta-search engine optimization. Background technique [0002] Meta Search Engine (Meta Search Engine) is an engine that invokes other independent search engines, also known as "the mother of search engines". Meta search engine covers a large number of search resources and can provide relatively comprehensive and accurate search results in the shortest possible time and many other excellent functions. It is favored by users and has gradually become an indispensable tool with great potential. web search tool. Result synthesis technology is one of the core technologies...

AI Technical Summary

Problems solved by technology

The shortcomings of this method are: users need to manually select member search engines and click to return results to reflect the personalized mechanism of the system, and the uncontrollable feedback results of users are difficult to guarantee the reliability of learning results; through monitoring The method of returning document title and abstract information to determine the relevance of the results also increases the server load and affects retrieval efficiency; at the same time, Borda sorting only considers the importance of the same result document being retrieved by multiple search engines, so Borda sorting will only Works well with duplicate results, but not so well with sorting independent results

However, the disadvantage of this method is that because a large amount of title and abstract information needs to be accessed in the database, and the calculation of the matching degree between the abstract and the title is complicated, the load on the server is increased, and the retrieval efficiency of the server is affected.

In addition, this method does not consider the influence of the number of member search engines on the final ranking results

Images