Synthetic ranking method of retrieval results for academic meta-search

Abstract

The invention discloses a method for merging and ranking retrieval results for academic meta search. By the aid of the method, problems that existing search engines are low in coverage rate and computation and convergence speed, incomplete retrieval results are obtained by the existing search engines and importance is not attached to paper in novel fields mainly can be solved. The implementation scheme includes that the method comprises 1), invoking component engines to retrieve documents; 2), computing the capacity of search engines by the aid of proportions of results of the component search engines; 3), comprehensively considering publication years of literature, influence factors of literature publication periodicals or holding times of publication conferences, quoted times of the literature and the relevance of the literature, combining the publication years of the literature, the influence factors of the literature publication periodicals or the holding times of the publication conferences, the quoted times of the literature and the relevance of the literature with the difference between the retrieval capacity of the component search engines and computing weights of the retrieved documents; 4), eliminating duplication of the results fed by the component search engines, merging the results and displaying the retrieval results. The method has the advantages that the importance of the literature in the new fields can be improved while the comprehensive and accurate retrieval results are provided for users, accordingly, the efficient retrieval experience can be provided for the users by the academic meta search engines, and the method can be applied to internet information retrieval and digital libraries.

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, which can be applied to the sorting of scientific and technological documents in the fields of Internet information retrieval and digital libraries. Background technique [0002] Meta search engine MSE is an engine that calls other independent search engines, also known as the "mother of search engines". The academic meta search engine is an academic retrieval tool derived mainly by utilizing the high coverage rate, high coincidence rate and many other excellent features of the meta search engine, combined with the highly targeted and specialized retrieval requirements in the academic search field. Result synthesis technology is one of the core technologies of academic meta-search engines, and the quality of its ranking results directly affects the user's search experience. In order to obtain search result...

AI Technical Summary

Problems solved by technology

The shortcomings of this method are: for some new high-quality papers, it is difficult to arrange them in the front position due to their low number of citations; by extracting scientific and technological literature entities, and iteratively calculating the generated matrix , resulting in an increase in server load and affecting retrieval efficiency; at the same time, when sorting, only the changes caused by the number of documents published in journals are considered, and the quality of journals is not considered, which affects the accuracy of results

The disadvantage of this method is that because only the frequency of citations is considered, and the impact of relevance on the ranking of documents is not considered, the documents with high relevance but low citation frequency are arranged in the rear position, which reduces the number of documents in new fields. At the same time, this method does not take into account the differences in the search capabilities of different member search engines, resulting in the documents returned by engines with strong search capabilities cannot be taken seriously

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