Live-Streaming Preview Pages with Contextual Room Recommendations
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Solution Overview
Problem
The user experience of watching live streaming through applications is not satisfactory due to inefficiencies in content navigation and recommendation.
Innovation Solution
An information display method and apparatus that includes displaying a live streaming room page and a preview page with recommended streaming rooms based on user interaction and duration, allowing for personalized content recommendations and improved navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the user exits a live streaming room page, then the user returns to a preview page, but the user loses access to relevant recommended content and navigation efficiency decreases
Solution Approach 1:
The system pre-prepares and displays recommendation information on the preview page before the user actually needs it. When the user exits a live streaming room, the preview page already contains relevant recommended content based on the user's viewing history and preferences, eliminating the need for separate search or navigation actions.
Solution Approach 2:
The preview page serves as an intermediary between the live streaming room and the main content library. It maintains contextual information about recommended content and uses trigger controls to facilitate seamless transitions back to specific live streaming rooms, acting as a bridge that preserves navigation context.
2Adaptability or versatility
If recommendation information is displayed on the preview page, then content discovery is improved, but the preview page complexity increases
Solution Approach 1:
The preview page is segmented into distinct functional regions: trigger controls for returning to live streaming rooms and separate recommendation information display areas. This segmentation allows each element to be independently controlled and optimized, reducing overall complexity while maintaining versatility.
Solution Approach 2:
The preview page dynamically adjusts its content based on user behavior. Recommendation information is displayed or hidden based on whether the user has exited a live streaming room, and trigger controls are shown or hidden based on user interactions, allowing the interface to adapt to different user states without maintaining permanent complexity.
3Measurement precision
If the system tracks user behavior for personalized recommendations, then recommendation accuracy improves, but the system complexity increases
Solution Approach 1:
The system automatically tracks user behavior such as playback duration, room switching operations, and interactive operations without requiring manual input. The tracking mechanism serves itself by using the data it collects to automatically generate and update recommendation information, reducing the need for complex manual configuration or intervention.
Solution Approach 2:
The system implements feedback loops where user interactions with recommendation information (such as clicking on recommended rooms) are tracked and used to refine future recommendations. This continuous feedback mechanism improves recommendation accuracy over time while using relatively simple tracking of specific interaction events.
Data Source
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AI summary
Disclosed in the present application are an information display method. In one example, the method may be applied to a first client. The first client may display a first live-streaming room page. A user may trigger in the first live-streaming room page an operation for exiting the first live-streaming room page. Correspondingly, the first client may display, in response to the operation for exiting the first live-streaming room page, a first preview page corresponding to the first live-streaming room page. In addition, taking into consideration the requirement of viewing content of other live-streaming room pages after the user views content of the first live-streaming room page, the first client may also display, in the first preview page, recommendation information of at least one recommended live-streaming room. It can be seen therefrom that by using the present solution, more of user needs can be met, so that the experience of the user when viewing a live stream is improved.