Method for rapidly screening positions from position database

Abstract

The invention discloses a method for rapidly screening positions from a position database. The method relates to the position database, a position index generator, a position search server and a Web client. The position index generator is interconnected with the position database by an open database. The position index generator generates an index file according to the position data in the position database in an index structure based on a suffix array and distributes the generated index file to the position search server. The position search server is connected with the Web client through a socket. The Web client sends an inquiry request to the position search server through the socket. The position search server searches the index file and returns search results to the Web client for display through the socket. According to the method, all positions in the position database can be searched rapidly and effectively, and the search speed is greatly improved at the premise of guaranteeing the search accuracy.

Description

technical field [0001] The invention belongs to the technical field of information retrieval, and in particular relates to a method for quickly screening positions from a position database. Background technique [0002] In the field of recruitment, most websites use traditional database retrieval technology or search engine technology to retrieve job data. In the case of a large amount of job data and frequent updates, when using traditional database retrieval technology for job retrieval, the retrieval performance drops significantly, and the retrieval takes a long time. When using search engine technology for job retrieval, it is difficult to search results based on the relevance degree Dynamic scoring is used for sorting, and the accuracy of retrieval results is low. This will make it difficult for users to quickly and accurately obtain job information, which seriously damages user experience. [0003] Under the current technical conditions, it is difficult to greatly i...

AI Technical Summary

Problems solved by technology

In the case of a large amount of job data and frequent updates, when using traditional database retrieval technology for job retrieval, the retrieval performance drops significantly, and the retrieval takes a long time. When using search engine technology for job retrieval, it is difficult to search results based on the relevance degree Dynamic scoring for sorting, low accuracy of retrieval results

This will make it difficult for users to quickly and accurately obtain job information, seriously hurting user experience

[0003] Under the current technical conditions, it is difficult to greatly improve the retrieval performance directly through hardware expansion, and the cost of hardware expansion and upgrade is relatively high

The problems in improving the retrieval performance from the retrieval method mainly lie in the following two points: first, the job database has a large amount of data, and the retrieval speed is slow; The search results are dynamically calculated for correlation, resulting in inaccurate search results

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