Method, system and device for querying vertical search

Abstract

The embodiment of the invention discloses a method, a system and a device for querying a vertical search, wherein the method comprises the following steps: a query server acquires the query information of a user; the query server acquires a query result from a lookup dictionary of a commodity category server according to the query information, wherein the query result refers to the commodity sub-categories under the commodity category matched with the query information and corresponding weight of the commodity sub-categories; and the query server sorts the commodity sub-categories in the query result according to the corresponding weight thereof, and sends the obtained sort result to the user, so that the user looks up the commodity sub-categories, and a log server generates a log according to the commodity category looked up by the user and the query information, and sends the log to an analysis server to carry out statistical analysis and then obtain a statistical analysis result, wherein the statistical analysis result is used for updating the lookup dictionary of the commodity category server for subsequent query. Through the method, the system and the device provided by the embodiment of the invention, the query result returned to the user according to the click records of the user is implemented, and the correlation between the query result and the user query is improved.

Description

Technical field [0001] This application relates to the field of network technology, in particular to a query method, system and device for vertical search. Background technique [0002] With the increasing development of the Internet, the amount of information stored on the Internet has become increasingly huge. When people need to obtain specific information about a certain aspect, they search through search engines. However, due to the large amount of information on the Internet, the search results obtained by general search methods lack accuracy, so vertical search methods have developed rapidly. Vertical search is a professional search engine for a certain industry. It is a subdivision and extension of a search engine. It is an integration of a certain type of specialized information in a webpage library. The targeted sub-fields extract the required data for processing and then use a certain This form is returned to the user. Compared with general search engines, the new s...

AI Technical Summary

Problems solved by technology

[0008] (1) The displayed categories are not very relevant to the user's query

[0009] (2) There is no mechanism between product categories to determine which product category is more important

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