Social Network Content Recommendation Using Saved Item Scoring
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Solution Overview
Problem
Social networking systems face challenges in allowing users to easily interact with previously presented content, as the increasing amount of new content makes it difficult to navigate and retrieve desired content items, leading to reduced user engagement with saved content.
Innovation Solution
Implementing a feature that allows users to save content items, which can be retrieved later based on user-specific information such as location, time, and interaction context, and using saved content to improve content recommendation algorithms by scoring and ranking relevant items.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If content items are presented chronologically in a newsfeed, then recent content is easily accessible, but previously presented content becomes difficult to retrieve as more new content accumulates
Solution Approach 1:
The patent implements a save feature that allows users to mark content items for later review before they need to access them. This preliminary action creates a curated collection of important content that can be quickly retrieved without navigating through chronological feeds, directly resolving the contradiction between easy access and retrieval time
Solution Approach 2:
The patent segments content into different categories including saved content, recent content, and recommended content. This segmentation allows users to access saved content through a dedicated interface separate from the chronological newsfeed, eliminating the need to scroll through unrelated new content and significantly reducing retrieval time
2Productivity
If users can save content items for later interaction, then user engagement with previously presented content improves, but system complexity increases due to additional storage and retrieval mechanisms
Solution Approach 1:
The patent implements a save feature that leverages existing social networking infrastructure (user profiles, content storage, notification systems) to provide saved content functionality. By making the system multi-functional and reusing existing components, the patent improves user engagement while minimizing the increase in system complexity
Solution Approach 2:
The patent creates simplified copies or references to content items rather than storing complete duplicates. The saved content feature stores metadata and references to original content, allowing efficient retrieval and display without duplicating the entire content storage system, thus improving engagement while controlling complexity
3Measurement precision
If saved content items are presented to users based on user information and context, then content recommendation accuracy improves, but processing requirements and system complexity increase
Solution Approach 1:
The patent performs preliminary filtering and scoring of saved content items based on user context (location, time, device) before presentation. By pre-processing and ranking saved content according to relevance criteria, the system improves recommendation accuracy while reducing the computational burden during actual content delivery, as the heavy lifting is done in advance
Data Source
AI summary
When a user sees a content item presented by a social networking system, the user may select an option to save the content item. When a user saves a content item, views saved content items, or otherwise indicates a present interest in a particular saved content item, the system recommends one or more additional items for the users to consume or save based on the seed saved content item. To find the additional content items, the system identifies other users who also saved the seed item and then finds other content items that these other users also saved at a rate that is disproportionately higher than the global save rates for the content items (which may be normalized by opportunities to save the content). Relevance for content items in other contexts may also be determined based on content items that have been saved by a user.