Personalized Interaction Data Playback in Live Streaming
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Solution Overview
Problem
Current live streaming technologies do not effectively personalize the playback of interaction data from multiple user accounts in a virtual space, failing to match the preferences of individual users, which leads to a suboptimal viewing experience.
Innovation Solution
A data play method that acquires and ranks interaction data based on matching degrees between user accounts, allowing for personalized playback by selecting and displaying data with higher matching degrees in a virtual space, using a terminal or server to adjust weights and matching degrees in real-time based on user interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple pieces of interaction data from different user accounts are played simultaneously in a live streaming room, then the variety and richness of played content is improved, but the personalization and matching degree with individual user preferences deteriorates
Solution Approach 1:
The patent applies local quality by calculating different matching degrees for different interaction data pieces based on the relationship between the current user and the user who issued each interaction data. Each piece of interaction data is played with a weight corresponding to its matching degree, ensuring that more relevant content receives greater emphasis. This resolves the contradiction by maintaining variety while optimizing personalization through differential weighting.
2Device complexity
If interaction data is played in a fixed queue order, then the system complexity is reduced, but the user engagement and satisfaction deteriorate due to lack of personalization
Solution Approach 1:
The patent implements dynamics by adjusting the playing weight of each interaction data piece in real-time based on matching degrees calculated from user relationships and interaction types. The system dynamically reweights the queue without requiring complete reordering, maintaining manageable system complexity while significantly improving user engagement through personalized content delivery that adapts to individual user preferences.
3Ease of operation
If all interaction data is played with equal weight, then the ease of operation is improved, but the viewing experience quality deteriorates due to lack of differentiation
Solution Approach 1:
The patent applies parameter changes by introducing matching degree as a new parameter that determines the playing weight of each interaction data piece. Instead of using equal weights, the system calculates matching degrees based on user relationships (following, being followed, stranger) and interaction types, then assigns weights proportionally. This maintains operational simplicity while dramatically improving viewing experience quality through differentiated content delivery.
Data Source
AI summary
A data play method is provided. In response to an access operation on a virtual space, a terminal acquires a plurality of pieces of first interaction data issued in the virtual space by a plurality of first user accounts and a first matching degree corresponding to each piece of the first interaction data, and simultaneously plays at least two pieces of second interaction data among the plurality of pieces of first interaction data on a playing interface of the virtual space based on the first matching degrees corresponding to the plurality of pieces of first interaction data, such that play manners of the second interaction data having different first matching degrees are different.