Dynamic Video Feed Interface for User Interaction
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Solution Overview
Problem
Online systems face limitations in presenting additional video content items to users while enforcing restrictions on the number of video content items in a feed, which can reduce user interaction and impair content selection.
Innovation Solution
The online system generates an interface with additional video content items by identifying candidate items with matching characteristics and determining interaction likelihoods, allowing for the selection and presentation of additional video content items to users who interact with existing video content items, even within the constraints of video content item limitations in the feed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the online system enforces limitations on the number of video content items in the feed, then the diversity of content types is improved, but the user interaction with video content is reduced
Solution Approach 1:
The system dynamically adjusts the number of video content items in the feed based on user interactions. When a user interacts with a video content item, the system responds by generating an interface with additional video content items, making the feed composition flexible rather than static. This resolves the contradiction by allowing the system to maintain diversity limits while adapting to user interest in video content.
Solution Approach 2:
The system uses user interactions with video content items as feedback to determine when to present additional video content. By monitoring user behavior (views, likes, shares) and responding with relevant additional content, the system balances content diversity requirements with user engagement, allowing video content to be included beyond the standard limit when user interest warrants it.
2Measurement precision
If the online system identifies additional video content items based on user interactions, then the relevance of content to user interest is improved, but the number of video content items in the feed exceeds limitations
Solution Approach 1:
The system segments video content items into two categories: those included in the main feed (subject to quantity limits) and those included in a separate generated interface (accessible upon user interaction). This segmentation allows the system to maintain feed diversity limits while still providing relevant additional video content to interested users through a different presentation mechanism.
Solution Approach 2:
The generated interface acts as an intermediary between the feed limitation constraint and user demand for relevant video content. Instead of directly adding video items to the constrained feed, the system uses the interface as a mediator to present additional relevant video content separately, satisfying user interest without violating feed composition rules.
3Stability of the object's composition
If the online system omits additional video content items from the feed to maintain limitations, then the feed structure is preserved, but user interaction with the feed is reduced
Solution Approach 1:
The system maintains feed structure stability while dynamically creating additional interfaces based on user interactions. The feed itself remains stable and adheres to composition limits, but the system becomes dynamic by generating supplementary interfaces that provide additional video content, thus preserving structure while enhancing user engagement.
Data Source
AI summary
An online system generates a feed of content items for a user subject to a limitation restricting the number of content items including video data (“video content items”) included in the feed. If the user interacts with a video content item the feed, the online system selects candidate video content items based on characteristics of the video content item in the feed and characteristics of the user. The online system determines likelihoods of the user interacting with various candidate video content items and selects candidate video content items based on the determined likelihoods. To present the user with additional video content items, the online system generates an interface including the selected candidate video content items and presents the interface to the user. The interface may be presented in place of the feed or may be presented as within the feed and presents different video content items based on user interactions.


