Default Suggested Queries for Social Graph Disambiguation
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Solution Overview
Problem
Social networking systems face challenges in efficiently searching for elements within complex social graphs due to ambiguous terms in user queries, which can lead to incorrect matches and reduced search accuracy.
Innovation Solution
The system generates structured queries based on social-graph elements, allowing users to disambiguate ambiguous terms by selecting the intended element, and provides default queries for pages, enhancing search precision and user interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the system uses simple text queries for searching social graph elements, then ease of operation is improved, but measurement precision deteriorates due to ambiguous terms
Solution Approach 1:
The system performs preliminary disambiguation by presenting multiple structured query options to the user before the actual search is executed. This allows the user to clarify their intent by selecting from predefined options, thereby resolving ambiguous terms before they affect search accuracy.
Solution Approach 2:
The system introduces an intermediary step between the user's text query and the search execution. This intermediary generates and presents structured query options that act as a mediator, translating the ambiguous text query into precise search parameters through user selection.
2Measurement precision
If the system generates multiple structured query options for ambiguous terms, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system segments the query processing into distinct stages: initial text query input, disambiguation phase with structured options, and final search execution. This segmentation allows complex disambiguation logic to be isolated and managed separately from the core search functionality.
Solution Approach 2:
The system dynamically adapts the query processing path based on whether terms are ambiguous or clear. For ambiguous terms, it activates the structured query generation and selection process; for clear terms, it proceeds directly to search, making the system complexity conditional rather than constant.
3Measurement precision
If the system provides structured query suggestions, then search accuracy is improved, but loss of time increases due to additional user interaction steps
Solution Approach 1:
The system performs preliminary generation of structured query options based on the initial text query, presenting these options to the user before execution. This preliminary structuring reduces the time needed for actual search processing by pre-resolving ambiguities in the query interpretation phase.
Solution Approach 2:
The system enables users to self-correct ambiguous queries by selecting from provided structured options, rather than requiring system-wide reprocessing or manual intervention. This self-service approach resolves ambiguities efficiently through user choice rather than iterative system queries.
Data Source
AI summary
In one embodiment, a method includes receiving, from a client system of a user, an indication of the user accessing a query field associated with a profile interface of a first entity, accessing a relational database to identify one or more second entities related to the first entity, generating one or more suggested queries based on the first entity, each suggested query comprising a name string of the first entity and one or more second name strings of one or more of the identified second entities, respectively, and sending, to the client system, responsive to the user accessing the query field, instructions for displaying one or more of the suggested queries.