Deep-Link Index for Social Content in Third-Party Apps
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Solution Overview
Problem
Current social networking systems face challenges in seamlessly integrating and displaying social networking content within third-party applications without requiring users to switch between applications, and in efficiently searching and retrieving specific content across different applications.
Innovation Solution
The implementation of a social plug-in that generates interactive notification elements and builds a deep-link index, allowing for the direct display of social networking content within third-party applications and enabling search and retrieval of specific content without leaving the user interface, by accessing a deep-link index that includes records with entity-identifiers, application-identifiers, and deep links for accessing specific display states of third-party applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If social networking content is displayed within third-party applications using social plug-ins, then user interaction convenience is improved, but system complexity increases due to deep-link index management
Solution Approach 1:
The system performs preliminary actions by building and maintaining a deep-link index that maps social entities to third-party application contexts before users need to interact with content. This pre-established indexing structure enables rapid content retrieval and display within third-party applications without requiring complex real-time processing during user interactions.
Solution Approach 2:
The deep-link index serves as an intermediary data structure that mediates between the social networking system and third-party applications. It translates social entity references into application-specific context without requiring direct integration between the social networking platform and each third-party application, thereby managing system complexity through an intermediate layer.
2Productivity
If deep-link index is built and maintained to enable content retrieval, then content search efficiency is improved, but data storage requirements increase
Solution Approach 1:
The deep-link index is segmented into discrete records, each containing an entity-identifier, application-identifier, and deep link. This segmentation allows the system to store only essential indexing information rather than complete content copies, optimizing the balance between search efficiency and storage requirements by dividing the index into manageable, minimal-unit records.
Solution Approach 2:
The system creates simplified copies of content metadata (entity identifiers, application identifiers, and deep links) rather than storing complete content objects. These copied reference records enable efficient content retrieval while occupying minimal storage space, as they contain only the essential information needed to locate and display content within third-party applications.
Data Source
AI summary
A method includes receiving a query identifying a first entity associated with the online social network. The method then includes accessing a deep-link index of the online social network including a plurality of records of indexed deep-links to a plurality of third-party applications. A deep link to the third-party application may include instructions for accessing a display state of the third-party application associated with the entity. The method further includes identifying one or more records of the deep-link index having an entity-identifier matching the identified first entity of the query, and sending one or more search results responsive to the query. The search results may include deep links corresponding to one or more of the identified records, and each deep link may be selectable by the first user to access a display state of a third-party application associated with the first entity of the query.