A recommended search method and device for a search engine

Abstract

The invention discloses a recommended search method and device for a search engine, comprising: a log record module records search logs and click logs of query words in the search process; a tendency analysis module analyzes the vertical search tendency weights of query words according to the logs; query The word recommendation module determines the relevant recommended query words after the query words are detected in the search box; the vertical search tendency recommendation module inquires the vertical search tendency weights corresponding to each recommended query word and determines the vertical search type of the preference of the recommended query words; the recommendation display The module displays the links of each recommended query word and its tendency vertical search type; after the response module detects that the link of the inclined vertical search type corresponding to the recommended query word is clicked, it uses the vertical search engine corresponding to the vertical search type to The matching content of the recommended query word displays the search results. The invention can improve the search efficiency of the vertical search by the search engine.

Description

technical field [0001] The invention relates to Internet information search technology, in particular to a search engine recommendation search method and device. Background technique [0002] An Internet search engine refers to collecting information from the Internet according to a certain strategy and using a specific program, and providing retrieval services for users after organizing and processing the information. The search engine retrieves relevant information based on keywords input by the user, and displays the retrieved relevant information to the user as search results. [0003] An important goal of the development of search engine technology is to minimize the number of human-computer operations for users, and try to show users search results that meet their search intentions. In order to achieve this goal, search engine technology is constantly improving and developing. [0004] At present, there is a search engine display technology for recommended query word...

AI Technical Summary

Problems solved by technology

while in figure 1 In the prior art shown, the more intuitive and highly relevant vertical search types cannot be listed separately. If the corresponding vertical search content is queried, the user needs to click the relevant vertical search channel link twice to find the corresponding vertical search channel link. Vertical search content, such as music content or video content

[0008] Therefore, the search efficiency of the prior art in vertical search is not high, it is inconvenient for the user to find the vertical search result with high correlation with the query word from the search results, and the user cannot know the vertical search with the highest correlation with each recommended query word At the same time, in order to select the final vertical search result, the user often needs to click the relevant vertical search channel link twice, resulting in an increase in the number of human-computer interactions between the user and the Internet machine side, and each human-computer interaction operation will send an operation request message , Trigger the calculation process and generate response result information, which will occupy a lot of resources on the machine side, including client resources, server resources, network bandwidth resources, etc.

Images