Structured Query Previews for Social Network Search Personalization
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Solution Overview
Problem
Social networking systems face challenges in providing users with effective search functionalities within complex social graphs, as existing methods often fail to offer personalized and engaging search queries that leverage social-graph attributes and user interactions.
Innovation Solution
The system generates structured queries that include references to social-graph elements, using user engagement factors, business intelligence, and social-graph affinity to suggest queries that are likely to interest users, along with dynamic and sponsored queries that reflect updates and trending content, allowing users to share queries and results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the system provides traditional search functionalities, then users can search for content, but the search results lack personalization and user engagement
Solution Approach 1:
The system pre-generates structured search queries based on user profiles, social graph data, and engagement factors before users initiate searches. These pre-computed queries are stored and automatically presented to users, eliminating the need for users to manually construct complex search queries while providing personalized results
Solution Approach 2:
The system continuously monitors user interactions with search results and uses this feedback to refine and update pre-generated queries. Engagement metrics such as click-through rates, time spent, and interaction patterns are fed back into the query generation algorithm to improve personalization and relevance over time
2Productivity
If the system generates multiple types of queries (structured, dynamic, sponsored), then user engagement increases, but system complexity increases
Solution Approach 1:
The query generation system is divided into distinct modules: a structured query generator that creates baseline searches, a dynamic query generator that adds real-time updates, and a sponsored query generator that inserts advertising content. Each module operates independently with its own algorithms and data sources, making the overall system more manageable and maintainable
Solution Approach 2:
A single unified query presentation interface handles multiple query types (structured, dynamic, sponsored) and delivers them through the same user experience channel. The system uses a common framework for query generation, management, and delivery that can accommodate different query types without requiring separate systems
3Loss of information
If the system provides detailed search results with previews, then user discovery increases, but information processing requirements increase
Solution Approach 1:
The system generates search result previews that include only the most relevant and engaging information rather than complete data sets. Previews show key elements such as top matching users, recent activities, or highlighted content with truncated or summarized information, providing sufficient context for users without processing and transmitting unnecessary data
Data Source
AI summary
In one embodiment, a method includes receiving, from a client system of a first user, a text query inputted by the first user, generating a plurality of structured queries based on the text query, each structured query comprising references to one or more objects associated with the online social network, generating one or more search results corresponding to at least one of the structure queries, and sending, to the client system responsive to receiving the text query, one or more of the structured queries for display, at least one of the structured queries being displayed with a preview of one or more of the search results corresponding to the structured query.