Method and device for generating query statement recommendation list

Abstract

The invention discloses a method and a device for generating a query sentence recommendation list. The method for generating the query sentence recommendation list comprises the following steps of receiving a query sentence input by a user; ranking recommendation keywords associated with the query sentence to obtain a recommendation list of the query sentence. The method and the device for generating the query sentence recommendation list can be used for better connecting man and service and connecting habits of men based on association information of time and space, improving the assisting capability of the right recommendation content in a search result page for the next step of decision of the user, improving the accuracy meeting the requirement of the user, thereby increasing the overall click rate of a search engine.

Description

technical field [0001] The invention relates to the technical field of the Internet, in particular to a method and device for generating a query sentence recommendation list. Background technique [0002] The right-side recommendation of search engines based on localization services is an important method to increase search product traffic and click-through rates. figure 1 A schematic diagram of an example recommendation list for an existing technical query statement, such as figure 1 As shown, when the query sentence "Google founder Great Leap Forward" is entered in the search engine, in the recommended part on the right side of the screen, a prompt and list of "everyone around is searching" appears. [0003] However, a problem that needs to be noted is that the relevance of such "hot words" has little to do with the query sentences entered by the user. Unless the user is very idle, the irrelevant recommended content on the recommendation list is not easy to be clicked by...

AI Technical Summary

Problems solved by technology

[0003] However, a problem that needs to be paid attention to is that the relevance of such "hot words" has little to do with the query sentences entered by the user.

Unless the user is very idle, the irrelevant recommended content on these recommendation lists is not easy to be clicked by the user. At most, they just glance at it and ignore it directly, resulting in a low click-through rate of the recommendation list on the right and poor user experience.

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