Digital Assistant Response Personalization via Historical Interaction Segmentation
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Solution Overview
Problem
Existing information processing systems, such as digital assistants, often struggle to provide personalized responses due to generalization in information processing capabilities, failing to account for the unique interaction habits and requirements of individual users.
Innovation Solution
A method and apparatus that obtain and generate responses based on historical interaction information between a target object (user or organization) and service components, allowing configuration of the historical interaction data used by digital assistants to provide more tailored responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If digital assistants use generalization in information processing, then device complexity is reduced and ease of operation is improved, but response accuracy and personalization are worsened
Solution Approach 1:
The patent segments historical interaction information into different dimensions (interaction objects, interaction types, time periods) and selectively processes relevant segments. This allows the system to maintain simplicity while improving accuracy by focusing only on pertinent historical data rather than processing all information uniformly.
Solution Approach 2:
The patent implements dynamic adjustment of historical interaction information based on user needs and context. The system adaptively selects which historical interactions to retrieve and how much weight to give them, transforming a static generalization approach into a dynamic personalized one without significantly increasing operational complexity.
2Measurement precision
If digital assistants utilize historical interaction information for personalized responses, then response accuracy is improved, but information processing complexity and computational resources are worsened
Solution Approach 1:
The patent extracts only the necessary historical interaction information relevant to the current query rather than processing all historical data. By selectively extracting pertinent interactions based on interaction objects, types, and time periods, the system improves response accuracy while minimizing processing complexity.
Solution Approach 2:
The patent applies partial action by retrieving and processing only a subset of historical interaction information that is most relevant to the current context. This avoids the excessive complexity of processing complete historical records while still achieving personalized accurate responses through selective partial processing.
3Adaptability or versatility
If digital assistants access comprehensive historical interaction data, then response personalization is improved, but information processing time and user privacy risks are worsened
Solution Approach 1:
The patent performs preliminary organization and categorization of historical interaction information by interaction objects, types, and time periods. This pre-structuring enables faster retrieval of relevant data during actual interactions, improving personalization response time while reducing the need to process comprehensive historical data from scratch each time.
4Adaptability or versatility
If digital assistants access comprehensive historical interaction data, then response personalization is improved, but security risks and user privacy exposure are worsened
Solution Approach 1:
The patent extracts only the specific historical interaction information necessary for providing personalized responses, rather than accessing or storing comprehensive user data. This selective extraction approach enables personalization while minimizing privacy exposure by limiting access to only what is strictly necessary for the current interaction context.
Data Source
AI summary
According to embodiments of the disclosure, a method, an apparatus, a device and a storage medium for processing information are provided. In the method, first information input by a target object to a digital assistant is obtained; and second information is generated as a response of the digital assistant to the first information based at least on the first information and historical interaction information between the target object and at least one service component. Thus, by generating a response of the digital assistant based on the historical interaction information between the target object and the service component, the embodiments of the disclosure can improve the quality of the response content generated by the digital assistant.