Data processing method and device, computer device, and storage medium

By acquiring the behavior type and interaction behavior of the target object, and using algorithms such as similarity and cooldown interval, the target information item is selected from the candidate information items. This solves the problem of low efficiency in human-computer interaction in existing technologies, realizes personalized information recommendation, and improves recommendation accuracy and efficiency.

CN116795955BActive Publication Date: 2026-07-21TENCENT TECHNOLOGY (SHENZHEN) CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
TENCENT TECHNOLOGY (SHENZHEN) CO LTD
Filing Date
2022-03-17
Publication Date
2026-07-21

AI Technical Summary

Technical Problem

Existing chatbots recommend questions based solely on the frequency of those questions, resulting in low human-computer interaction efficiency and failing to meet the personalized interaction needs of different users.

Method used

By acquiring the target behavior type and target interaction behavior of the target object, the target information item is determined from the candidate information items based on similarity conditions, and recommendations are made in the session. Personalized recommendations are made using algorithms such as behavior type mapping, feature similarity, and cooldown interval duration.

Benefits of technology

It improves the accuracy of information item recommendations and the efficiency of human-computer interaction, ensuring that the recommended information items are adapted to the target audience and meet the personalized needs of different users.

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Abstract

The application discloses a data processing method and device, computer equipment and a storage medium, and belongs to the technical field of computers. According to the application, target information items that meet similar conditions of a target interaction behavior are filtered from a plurality of candidate information items corresponding to a target behavior type of a target object based on the target behavior type and the target interaction behavior, and the target information items are recommended in a conversation between the target object and a dialogue robot, so that personalized intelligent recommendation of information items can be performed for different target objects, it is ensured that the recommended information items can be adapted to the target objects, the recommendation accuracy of the information items is improved, and the human-computer interaction efficiency is improved.
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