Search push method and device for mining user demands

Abstract

The embodiment of the invention provides a search push method and device for mining user demands. The method comprises the following steps: when a first search keyword input by a current user is received, encapsulating the first search keyword in a search request; sending the search request to a search engine; receiving one or more pieces of push information which are matched with one or more second search keywords relevant to the first search keyword searched on the basis of group user demand information counted by means of group user relevant search history behavior and are returned by the search engine. According to the embodiment of the invention, repeated manual filtering of information by the user is avoided, the search efficiency is increased, and meanwhile resources occupied by a server and electronic equipment are reduced.

Description

technical field [0001] The invention relates to the technical field of search, in particular to a search push method for mining user needs and a search push device for mine user needs. Background technique [0002] With the rapid development of the network, the network information has increased dramatically and contains a large amount of information. In order to find the required disease information in the massive network information, users usually use search engines to search. [0003] Especially in the search based on mobile devices, because mobile devices are usually personal belongings and are carried around, generally only one user will use them. Therefore, there is a large demand for information queries based on mobile devices. [0004] However, most searches based on mobile devices cannot better meet the needs of users. [0005] Specifically, through the user log behavior, it is found that after most users retrieve a search keyword, they may change the relevant searc...

AI Technical Summary

Problems solved by technology

[0006] Due to the size limitation of the search box and input method interface of mobile devices, it is very troublesome for users to write search keywords in the input box, resulting in high input costs for search, especially when users change their needs, this phenomenon is more obvious

[0007] Moreover, due to the limitation of the screen size of mobile devices, the webpage of the search results is very large, and the user often needs to drag the webpage to view it. The operation is very troublesome and the user experience is poor.

[0008] The contradiction between the speed of information growth in the network and the ability of people to obtain the information they need is becoming more and more prominent. Excessive information requires users to perform cumbersome manual filtering when searching for information, which not only consumes a lot of time and energy, but also takes up a lot of time. The resources of mobile devices and search engines occupy a large amount of network bandwidth, and the efficiency of information search is very low

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