Personalized Search Queries for Social Networks
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Solution Overview
Problem
Current social networking systems face challenges in efficiently searching and filtering social graph elements within complex network structures, particularly in resolving privacy settings and generating personalized search queries that effectively navigate the intricate relationships between users and concepts.
Innovation Solution
The implementation of a method that utilizes a social graph database to generate structured search queries based on social-graph information, including the creation of sub-graphs for resolving privacy settings and filtering search results, while employing typeahead and bootstrapping processes to automatically generate nodes and edges, and recommendation-generating processes to suggest relevant content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional search methods are used in social networking systems, then search functionality is provided, but the system cannot efficiently handle complex network structures and privacy settings
Solution Approach 1:
The patent segments the social graph into sub-graphs based on privacy settings and user relationships. Each sub-graph represents a specific portion of the network with defined access permissions, allowing the search system to process only relevant portions rather than the entire complex graph, thereby improving search efficiency while managing complexity.
Solution Approach 2:
The patent introduces an intermediary layer between the user's search query and the social graph database. This intermediary processes the query by generating structured search queries that automatically incorporate privacy constraints and relationship filters, mediating between the simple user intent and the complex underlying data structure.
2Adaptability or versatility
If the system stores comprehensive social graph information, then personalized search results can be generated, but privacy compliance becomes difficult to maintain
Solution Approach 1:
The patent applies local quality by assigning different access permissions and visibility levels to different portions of the social graph. Each user's data has specific privacy attributes defined locally, and the search system respects these local privacy constraints when generating results, allowing comprehensive data storage while maintaining privacy compliance through localized access control.
Solution Approach 2:
The patent performs preliminary action by pre-processing search queries to incorporate privacy constraints and relationship filters before executing the search. The system generates structured queries that automatically exclude unauthorized data, ensuring privacy compliance is built into the search process itself rather than applied as a post-processing filter.
3Measurement precision
If manual search query construction is required, then search accuracy can be controlled, but user effort and time increase significantly
Solution Approach 1:
The patent implements self-service by enabling the system to automatically generate structured search queries from simple user inputs. The search system autonomously incorporates privacy settings, relationship filters, and relevance weighting without requiring manual configuration, maintaining search accuracy while eliminating the need for users to understand complex query construction.
Solution Approach 2:
The patent performs preliminary action by pre-configuring search parameters, privacy constraints, and relationship weights in the system architecture. When a user submits a search query, these pre-configured elements are automatically applied, delivering accurate and personalized results without requiring the user to manually adjust search parameters or understand the underlying complexity.
Data Source
AI summary
In particular embodiments, a method includes receiving, from a client device associated with a first user of an online social network, a text query comprising one or more character strings, identifying one or more data objects that match at least a portion of one or more of the character strings, wherein each of the identified data objects is connected to the first user within the online social network, generating one or more recommended queries that each comprise the character strings of the text query and references to one or more of the identified data objects, and sending, to the client device associated with the first user in response to receiving the text query, one or more of the recommended queries for display to the first user.