Method for establishing sorting model, query automatic completion method and corresponding devices

Abstract

The invention discloses a method for establishing a sorting model, a query automatic completion method and a corresponding device, and relates to the technical field of intelligent search. According to the specific implementation scheme, the method comprises the steps of obtaining training data, wherein the training data comprises first training data and second training data, the first training data comprises historical query data occurring in a space-time set, and the second training data comprises historical query data occurring in a preset space-time unit; training a sorting model by utilizing the training data to obtain a sorting model corresponding to the space-time unit, wherein in the training process, the first training data is used for carrying out global training on the sorting model, the second training data is used for carrying out local training on the sorting model, the sorting model corresponding to the space-time unit is used for predicting query completion suggestionsfor query prefixes input by a user in the space-time unit. The query completion suggestion recommended based on the sorting model provided by the invention can better meet the actual requirements of the user.

Description

technical field [0001] The present disclosure relates to the field of computer application technology, in particular to a method for establishing a sorting model, a method for automatic query completion, and a corresponding device in the field of intelligent search technology. Background technique [0002] QAC (Query Auto-Completion) has been widely adopted by mainstream general search engines and vertical search engines. For example, in a map class application, when a user inputs a query (query) to search for a certain POI (Point of Interest), it starts from the user inputting an incomplete query (in this disclosure, the incomplete query input by the user is referred to as is the query prefix), the search engine can recommend a series of candidate POIs to the user in real time in the candidate list for the user to select as the completion result of the query (the query recommended in the candidate list is called query completion suggestion in this disclosure) . Once the u...

AI Technical Summary

Problems solved by technology

[0003] However, in the existing query auto-completion schemes, the suggestions provided for the same query prefix are the same, for example, they are all sorted based on the retrieval popularity of each POI in the candidate list, which cannot well meet the needs of users. actual needs

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