Method and device for data processing

Abstract

The embodiment of the application discloses a method and device for data processing. The method comprises the steps that a first question asking triggering operation of a target object correlated with a user is received; in response to the first question asking triggering operation, a question asking template matched with key information in the first question asking triggering operation among question asking templates corresponding to the target object is displayed; question asking data is generated according to the matched question asking template and information input by the user; and the question asking data is distributed to client sides of other users correlated with the target object. The technical scheme provided by the embodiment of the application has the advantages that the user's question asking efficiency is increased; structuring of subsequent question data is ensured; subsequent statistics of key information is convenient; and accuracy of question asking data distribution can be increased.

Description

technical field [0001] The present application relates to the technical field of computer information processing, in particular to a data processing method and device. Background technique [0002] With the development of the Internet consumption era, more and more people will buy products suitable for them on some e-commerce platforms. Before buying, users usually need to know the size, quality, efficacy and other information of the product to judge whether the product is suitable for them. Therefore, accurately providing product information to users can improve user experience and increase the transaction conversion rate of products. [0003] At present, it is usually possible to provide product information to users by providing a product introduction page including product details, providing online customer service consulting services, displaying user reviews of purchased products, and providing consulting services to users who have purchased, etc., to help users underst...

AI Technical Summary

Problems solved by technology

However, in the fourth method in the prior art, the user input text is inefficient, and because different users have different questioning habits, the question will have no structure, and the key information cannot be extracted well, resulting in low efficiency of subsequent matching and occurrence of Unnecessary repetition of similar questions, etc.

Therefore, the existing technology cannot effectively help users understand product information, and the user experience is poor, resulting in a low transaction conversion rate of products.

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