Video Recommendation Display for Faster Related Object Discovery
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Solution Overview
Problem
Viewers of live streaming content often struggle to find related objects of interest within live rooms, leading to a poor user experience due to the need to manually search through multiple videos.
Innovation Solution
A display method and apparatus that recommends related objects based on follow state representation information, such as historical operation behavior and video explanation, to facilitate viewing of objects within the same category as the initially viewed object.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If manual search through multiple videos is used to find related objects, then users can find objects of interest, but user experience deteriorates due to time consumption and operational complexity
Solution Approach 1:
The system pre-processes and analyzes follow state representation information (historical operation behaviors, video explanation information) to identify objects for reference before the user needs them. When a user views a video, the system has already prepared recommended information sets containing related objects, eliminating the need for manual search and reducing time loss.
Solution Approach 2:
The patent introduces an intermediary recommendation system that mediates between the user and the vast database of objects. Instead of directly searching through multiple videos, users interact with a curated recommendation interface that presents relevant objects based on analyzed follow states, simplifying the search process and improving ease of operation.
2Adaptability or versatility
If comprehensive object recommendations are provided across multiple videos, then users can find diverse related objects, but system complexity increases due to data processing and recommendation management
Solution Approach 1:
The system applies local quality by focusing recommendation efforts on specific objects that are most relevant to each user's context. Instead of uniformly processing all objects across all videos, the system identifies 'objects for reference' based on local follow state characteristics (specific historical behaviors and video explanations), reducing overall system complexity while maintaining comprehensive coverage where needed.
Solution Approach 2:
The patent segments the recommendation problem into manageable components: (1) analyzing follow state representation information, (2) identifying objects for reference, (3) constructing recommended information sets, and (4) presenting recommendations. This segmentation allows each component to be optimized independently, reducing overall system complexity while maintaining adaptability.
Data Source
AI summary
A display method, an electronic device, and a computer-readable medium are provided. The method includes: displaying a video playing page; and displaying an information recommendation page, in response to a trigger operation for a target control on the video playing page, a recommended information set corresponding to an object for reference is displayed on the information recommendation page; the object for reference is determined according to follow state representation information of a first candidate object corresponding to the video playing page; the recommended information set includes account attribute information of several candidate accounts, objects to be displayed under each of the candidate accounts include a target display object, an object category of the target display object is same as an object category corresponding to the recommended information set and the object category corresponding to the recommended information set is same as an object category of the object for reference.