Search recommendation method and device

Abstract

The invention discloses a search recommendation method. The search recommendation method comprises the following steps: receiving a picture input by a user; acquiring user identification; analyzing the picture to acquire search intention of the user; acquiring a corresponding recommendation model of the user according to the user identification; inquiring the recommendation model according to the search intention to acquire a recommendation result; providing the recommendation result in a search result web page. The method realizes the function of searching solid information and acquiring required information, enlarges search requirement range of the user, promotes search experience of the user, improves expansibility of a search engine, and adds the search function. 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, a search engine generally searches according to a search term input by a user to obtain a search result related to the search term, and provides the search result to the user for reference. However, it is difficult for search engines to meet the user's entity search needs. Users can only retrieve the required information by entering text search terms, but cannot search for entity information and obtain the required information, resulting in poor scalability and reduced functionality of the search engine. Contents of the invention [0003] The object of the present invention is to solve one of the above-mentioned technical ...

AI Technical Summary

Problems solved by technology

However, it is difficult for search engines to meet the user's entity search needs. Users can only retrieve the required information by entering text search terms, and cannot search for entity information and obtain the required information, resulting in poor scalability and reduced functionality of the search engine.

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