A Retrieval Method Based on Position Feature

Abstract

The invention discloses a retrieval method based on position characteristics. The retrieval method comprises the following steps of: respectively calculating a word frequency and density score, a position distance score, a distribution score and a sequence score of a keyword in a retrieval result according to a preset keyword word frequency and density algorithm, a position distance correlation score algorithm, a distribution correlation score algorithm and a sequence correlation algorithm; carrying out weighted sum on the word frequency and density score and the position distance score, and obtaining a basic score A of the keyword in the retrieval result; after the distribution score is smoothed, calculating a ratio B of the sequence score to the smoothed distribution score; calculating a comprehensive score of the keyword in each retrieval result through product of A and B; and arranging the retrieval results in a descending order according to the corresponding comprehensive scores and then providing the retrieval results in the descending order to a user through a user interface. Through the comprehensive scores of the word frequency and density score, the position distance score, the distribution score and the sequence score, the purposes of improving the relevance of the retrieval results and enhancing the user experience are achieved.

Description

technical field [0001] The invention belongs to the technical field of the Internet, and in particular relates to a retrieval method based on location features. Background technique [0002] With the development of the Internet, there are more and more types of search engines. A search engine consists of four parts: searcher, indexer, retriever and user interface. The function of the search engine is to roam, discover and collect information in the Internet. The function of the indexer is to understand the information searched by the searcher, extract the index items from it, and use it to represent the document and generate the index table of the document library. The function of the retriever is to quickly retrieve documents in the index library according to the user's query, evaluate the relevance between the document and the query, sort the results to be output, and implement a user relevance feedback mechanism. The role of the user interface is to enter user queries,...

AI Technical Summary

Problems solved by technology

[0003] In order to solve the problem that existing search engines do not comprehensively consider the influence of the total word frequency, density, position, and order of keywords in the retrieval results on the retrieval results, resulting in poor user retrieval experience, the present invention provides a method that combines key The word frequency, density, position, and order of words in the search results are all taken into account to calculate the correlation between user query words and search results. A search method based on location features

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