Personalized Chat Summarization Using User Profiles
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The rapid growth of social group chat usage has made it difficult for users to catch up on missed content, especially after logging off, as traditional summarization algorithms ignore personal context and individual preferences.
Innovation Solution
A personalized chat summarization system that generates a summary of missed group chat messages based on user interests, social network, and message relevance, using a user profile system to prioritize messages by topic, directed actions, and social network proximity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional summarization algorithms are used, then the summarization process is simple, but the summary does not consider personal context and individual preferences
Solution Approach 1:
The system performs preliminary action by pre-building user profiles that capture individual preferences, topics of interest, and social network relationships before summarization is needed. This allows the summarization algorithm to leverage pre-computed personalization data without adding complex real-time analysis during the summarization process itself.
Solution Approach 2:
The patent introduces user profiles as an intermediary data structure that mediates between the raw chat messages and the final summary. The user profile contains extracted features (topics, social network, preferences) that serve as intermediaries to guide the summarization process, enabling personalization without requiring the summarization algorithm itself to be overly complex.
2Loss of time
If all missed messages are presented to the user, then the user receives complete information, but the user cannot quickly catch up on discussions
Solution Approach 1:
The system applies local quality by customizing the summary content according to each user's specific interests and preferences. Instead of uniformly presenting all messages, the system locally adapts the summary to highlight messages relevant to that particular user's topics of interest and social network, thereby reducing time to catch up while maintaining information relevance.
Solution Approach 2:
The patent segments the missed messages into distinct categories based on user profiles, such as messages related to topics of interest, messages from specific social network contacts, and other messages. This segmentation allows the system to present a prioritized summary that addresses the most important information first, enabling users to quickly catch up on discussions without being overwhelmed by all messages equally.
3Ease of operation
If messages are prioritized based on user interests and social network, then the summary becomes more relevant, but the system complexity increases
Solution Approach 1:
The system performs preliminary action by pre-extracting and storing user preference data, topics of interest, and social network relationships in user profiles before the summarization process. This pre-computation simplifies the actual summarization process, as the system only needs to match messages against the pre-existing user profile features rather than performing complex real-time analysis, thereby maintaining ease of operation while managing processing complexity.
Data Source
AI summary
A method, computer system, and a computer program product for generating a chat summary personalized to a user is provided. The present invention may include receiving a plurality of input interactions associated with the user. The present invention may include determining a user profile based on the received plurality of input interactions, whereby the determined user profile includes a plurality of topics of interest. The present invention may include receiving a plurality of missed messages. The present invention may include determining a plurality of message clusters from the plurality of missed messages, whereby a topic is associated with each message cluster. The present invention may include ranking the determined plurality of message clusters based on comparing the topic associated with each message cluster to the plurality of topics of interest. The present invention may include presenting the ranked plurality of message clusters to the user.