A method and device for data processing

Abstract

The embodiment of the present application discloses a data processing method and device. The method includes: receiving a first question trigger operation of a target object associated with a user; in response to the first question trigger operation, displaying key information in a question template corresponding to the target object and in the first question trigger operation A matching question template; generating question data according to the matching question template and user input information; distributing the question data to clients of other users associated with the target object. Utilizing the technical solutions provided by the embodiments of the present application can improve the efficiency of user questioning, ensure the structure of follow-up question data, facilitate subsequent statistics of key information, and improve the accuracy of question data distribution.

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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