Search Engine Answer Box Triggering via Query Log Analysis
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Solution Overview
Problem
Current search engines face challenges in providing direct and relevant information to users, as they often rely on traditional query result rankings without effectively utilizing query log data to trigger answer boxes based on user queries.
Innovation Solution
The system analyzes query log information to identify query results that frequently appear in response to seed queries, determines query association scores, and uses these scores to decide when to provide answer boxes, ensuring that answer boxes are triggered based on user queries and presented in a personalized manner.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional query result rankings are used without query log analysis, then the system is simpler to operate, but the relevance and personalization of answer boxes deteriorates
Solution Approach 1:
The system performs preliminary analysis of query log information to pre-identify query results that frequently appear in response to seed queries. This preliminary action creates a foundation of pre-processed data that can be quickly referenced when generating answer boxes, improving relevance without adding complexity to the real-time operation.
Solution Approach 2:
The system uses its own query log information to automatically identify relevant query results and determine answer box indicators. By serving itself with internally generated data, the system improves personalization and relevance without requiring external complex systems or manual configuration.
2Adaptability or versatility
If query log analysis is performed to identify answer box indicators, then the personalization and relevance of answer boxes is improved, but the processing time and computational resources increase
Solution Approach 1:
The system performs query log analysis and identifies answer box indicators in advance, before they are needed for actual query responses. This preliminary processing allows the system to store pre-identified indicators that can be quickly retrieved and used, reducing processing time during actual query operations while maintaining high personalization capability.
3Reliability
If answer boxes are provided based on frequent query results from query logs, then the accuracy of answer box selection is improved, but the system complexity increases
Solution Approach 1:
The system uses its own query log information to automatically identify relevant query results and determine answer box indicators. By serving itself with internally generated data, the system improves personalization and relevance without requiring external complex systems or manual configuration.
Solution Approach 2:
The system introduces query log information as an intermediary data source that mediates between user queries and answer box generation. This intermediary layer provides structured, pre-analyzed data that simplifies the decision-making process for selecting answer boxes, improving accuracy without significantly increasing overall system complexity.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for providing answer boxes based on query results. One of the methods includes receiving seed queries for an answer box; analyzing query log information, wherein analyzing query log information comprises identifying query results that have been provided in response to the seed queries; identifying one or more of the query results as answer box indicators based on the analyses of the query log information, wherein the answer box indicators are indicators for the answer box; and storing data identifying the one or more query results as answer box indicators for the answer box.