Self-help intelligent uprightness searching method

Abstract

The present invention relates to a self-service intelligent vertical search method and includes the following steps: cookies files of users, registered information, historical search information and ordered attention module can be utilized to study preferences of users, and the preferences of the users are set as statistical models of the users which are real-timely stored to a database of a search engine dynamically. A final key word / words collection file can be obtained by studying high speed Chinese word segmentation and search habits of users. The search engine can search all the information that is relevant to the inertial key sentence / word through a network database. Meanwhile, the search results are matched with the statistical models of the users and the search results which fit for the preferences of the users can be returned to the users. The present invention has the beneficial effects that the users can find out the needed information from the huge information collection and study using preferences and habits of the users actively, and then the search results can cater to ''tastes'' of the users more and the users make judgment to the values of the search results totally.

Description

technical field [0001] The invention relates to a search field applied to digital networks, in particular to a self-service intelligent vertical search method. Background technique [0002] At present, the wide application of search engine technology enables users to easily and conveniently obtain desired information. However, existing search engines and search technologies also have shortcomings and deficiencies: [0003] 1. The massive amount of information on the Internet also makes the search engine using keyword search technology return a large number of search results. A lot of information is useless to users, and users have to search through these huge information sets. Find the information they need. [0004] 2. The existing search technology cannot actively learn the user's preferences and habits, so that the search results are more in line with the user's "taste", but it is completely up to the user to judge the value of the search results. [0005] 3. Today's s...

AI Technical Summary

Problems solved by technology

[0003] 1. The vast amount of information on the Internet also makes the search engine using keyword search technology return a large number of search results. A lot of information is useless to users, and users have to search through these huge information sets. find the information they need

[0004] 2. The existing search technology cannot actively learn the user's preferences and habits, so that the search results are more in line with the user's "taste", but it is completely up to the user to judge the value of the search result to him

[0005] 3. Today's search engines cannot reflect users' evaluations of search results, nor can they integrate this subjective evaluation into search engines to modify the search process and make search results more accurate

[0006] 4. Most of the functions are executed by the server. The existing general search engine cannot effectively utilize the digital terminal hardware resources of the client itself, which puts too much pressure on the server, so that the function program cannot be executed efficiently, resulting in a large investment in the purchase of the server hardware

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