A recommendation method based on search keywords

Abstract

The invention discloses a recommendation method and system based on a search keyword and relates to the field of search engines. The recommendation system comprises a keyword obtaining unit suitable for obtaining the search keyword according to the user input, a search tree storage unit suitable for storing Chinese characters in a tree-form data structure, a recommendation word bank suitable for storing the recommendation words, an address obtaining unit suitable for inquiring the search tree storage unit according to the search keyword so as to obtain the address information of the recommendation word, and a recommendation unit suitable for inquiring the recommendation word band to obtain the recommendation word according to the address information and recommending the recommendation word to a user, wherein each data node in the tree stores one Chinese character and the address information of the recommendation words with the Chinese character. According to the recommendation method and system based on the search keyword, in the search tree storage unit, each data node records the address information of all the recommendation words with the character of the node, and accordingly the recommendation word inquiring speed is improved, and the problem of low inquiring speed due to recommendation word band capacity increase is overcame.

Description

[0001] The patent application of the present invention is a divisional application of the Chinese invention patent application with the filing date of June 26, 2012, the application number of 201210215120.4, and the title of "a recommendation system and method for search input". technical field [0002] The invention relates to the technical field of search engines, in particular to a recommendation method based on search keywords. Background technique [0003] Suggest (search suggestion) is a technology that provides suggestions based on query words entered by the user. On the Internet, the responsibility of searchers is to help users obtain the information to be searched more accurately with faster speed and fewer operations. [0004] When users input in the search box, they often need to input many keywords, and may also switch input methods. Moreover, after the user enters the key words, he may also face the situation of input errors, such as homophonic characters. Fin...

AI Technical Summary

Problems solved by technology

Therefore, redundant pinyin indexes may be created, disrupting correct results, and not conducive to guiding users to recognize their own pinyin errors

[0007] In the process of obtaining Chinese query strings from pinyin, due to improper handling of polyphonic characters, search noise may also be introduced. For example, when a user enters "yueshi" in the Baidu search box and wants to query information about lunar eclipses, but at this time suggest The recommended words given include obviously irrelevant information such as "LeTV" and "key", while "lunar eclipse" is almost overwhelmed by these irrelevant information

[0008] In the usual query method, the larger the data set in the dictionary, the larger the subtree that needs to be traversed, resulting in an increase in search time as the data set increases, affecting the user experience

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