Search recommendation method and device

Abstract

The invention discloses a search recommendation method which includes: receiving the search word of a user, and acquiring the identification of the user; acquiring of the category of the search word; acquiring the recommendation model corresponding to the user according to the identification of the user; inquiring the recommendation model to obtain a recommendation result according to the search word and the category of the search word; providing the recommendation result in a search result page. The method has the advantages that the recommended contents are related to user behavior features, that is to say, different cards are recommended to users with different behavior features, personalized recommendation of each user is achieved, the potential user demands of the users can be maximally stimulated, and user experience is increased. The invention further discloses a search recommendation device.

Description

technical field [0001] The invention relates to the technical field of search engines, in particular to a search recommendation method and device. Background technique [0002] Users often search for the information they need in the massive amount of information on the Internet, and search engines have gradually become an indispensable tool. At present, search engines generally search according to the search words entered by users to obtain search results and recommended results related to the search words, and display the search results on the left side of the search results page, and display the results on the right side of the search results page. Recommendation results, wherein most of the recommendation results are related to the search words entered by the user, such as strong correlation / weak correlation. [0003] The current problem is that when different users input the same search term, since the search engine obtains the recommended results based on the search te...

AI Technical Summary

Problems solved by technology

[0003] The current problem is that when different users input the same search term, since the search engine obtains the recommended results based on the search term, the recommended content on the right side of the search result page is the same, which has nothing to do with your own hobbies. Contact, the recommended content will not be different due to different users, which will not meet the individual needs of each user well, and cannot maximize the potential needs of users

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