Location-Based Query Log Ranking for Content Relevance
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Solution Overview
Problem
Existing content presentation systems on the Internet fail to effectively rank and serve content based on user location and interest, leading to irrelevant advertisements and business listings being displayed to users.
Innovation Solution
Implementing a method that uses location-based query log analysis to rank content items, such as advertisements and business listings, by evaluating query logs associated with specific geographic regions, thereby determining user-population-averaged interest and serving relevant content based on this analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If content is ranked using traditional auction-based methods, then content sponsors can pay for visibility, but the content relevance to user location and interest deteriorates
Solution Approach 1:
The system performs preliminary actions by collecting and storing query logs with location information in advance. Query logs are accumulated over time and pre-processed to create location-based interest profiles before actual content ranking is needed, enabling faster and more relevant ranking decisions
Solution Approach 2:
The system implements feedback mechanisms by continuously analyzing query logs to determine user-population-averaged interest in specific geographic regions. This feedback loop uses historical query data to refine and update content rankings, ensuring that content relevance improves based on actual user behavior patterns
2Reliability
If content is ranked without location-based analysis, then system complexity is reduced, but content relevance to user interest deteriorates
Solution Approach 1:
The system segments the overall ranking process into distinct components: query log collection, location-based interest analysis, and content ranking. By dividing the system into modular segments handling different aspects of the ranking process, it achieves both high relevance through location analysis and maintained productivity through efficient division of labor
Solution Approach 2:
The system introduces query logs as an intermediary element that mediates between raw user queries and final content rankings. Query logs serve as a buffer that captures location-based search behavior, allowing the system to analyze user interest patterns without requiring complex real-time processing of every query
3Productivity
If traditional auction methods are used for content allocation, then slot allocation is simple, but content engagement and conversion rates deteriorate
Solution Approach 1:
The system applies dynamics by making content rankings adaptable and changeable based on location-based query log analysis. Content rankings are not static but dynamically adjusted according to user-population-averaged interest in different geographic regions, allowing the system to respond to changing user preferences and improve conversion rates
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on a computer-readable storage medium, including a method for ranking content using location-based query log analysis. The method comprises: identifying a region defining an area of interest including identifying a plurality of content items that are associated with the region; evaluating query logs associated with users that submitted queries associated with the region to determine a ranking associated with the plurality of content items; receiving a request for content associated with the region; and providing one or more of the content items based at least in part on the ranking.