Image search method and search engine

Abstract

The invention provides an image search method and a search engine. The image search method includes the steps of receiving search terms inputted by a user, analyzing the search terms, obtaining demand option information and an image search result related to the search terms, sending the demand option information and the image search result to a client side, receiving current demand options selected by a user when the current image search result is determined not to meet the requirement of the user, analyzing the current demand options, obtaining new demand option information and a new image search result, sending the new demand option information and the new image search result to the client side, continuously repeating the steps until the current image search result meets the requirement of the user. By means of the image search method, by displaying new demand option information and new image search results for the user multiple times, interacting with the user and thoroughly and continuously understanding the search intention of the user, the search result which meets the search intention of the user can be accurately provided for the user, the accuracy of the search result is improved, and the search experience and satisfaction degree of the user are improved.

Description

technical field [0001] The invention relates to the technical field of the Internet, in particular to a picture search method and a search engine. Background technique [0002] At present, when most image search engines search for images based on the query words entered by users, they first judge whether the text around the image matches the query words in the interface where the image is located (such as a web page, advertising interface, etc.), and then search for the query words around the image. The pictures in the text that match the query word are provided to the user according to certain sorting rules. [0003] However, in the process of realizing the present invention, the inventor found that there are at least the following problems in the prior art: since the text around the picture is not necessarily related to the content of the picture, some of the pictures found in the search and the user's demand pictures are different from each other. The correlation is not ...

AI Technical Summary

Problems solved by technology

[0003] However, in the process of realizing the present invention, the inventor found that there are at least the following problems in the prior art: since the text around the picture is not necessarily related to the content of the picture, some of the pictures found in the search and the user's demand pictures are different from each other. Low correlation and low accuracy

In addition, the above method only matches the query words with the words of the text around the picture, but cannot deeply understand the user's search intent and the restrictions on the picture

Therefore, the search results provided by the above methods cannot accurately meet the user's search expectations, and the user needs to constantly change the query words to obtain the required pictures. The operation process is cumbersome and the user's search experience is poor.

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