Map Attention Spot Content Ranking
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing technologies fail to effectively determine and utilize user attention areas on map interfaces to provide relevant content items, such as advertisements, to users based on their focus of attention on maps.
Innovation Solution
A method that identifies map attention spots within a viewport based on user activity, calculates attention scores for these spots, and ranks content items based on their proximity and relevance to these areas, enhancing the presentation of content items to users by determining their relative importance and distance from the user's focus of attention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If content items are presented uniformly across the map interface, then implementation is simple, but user engagement decreases due to lack of relevance to user attention
Solution Approach 1:
The patent applies local quality by differentiating content item presentation based on spatial location on the map. Content items are ranked and presented differently depending on their proximity to the user's attention spot, creating location-specific presentation quality rather than uniform presentation across the entire map interface.
Solution Approach 2:
The system performs preliminary action by determining the user's attention spot and pre-ranking content items based on their proximity to this spot before presentation. This advance preparation of content ranking based on spatial relationship improves user engagement without adding complexity during the actual content delivery moment.
2Productivity
If content items are ranked based on proximity to user attention spots, then user engagement improves, but system complexity increases
Solution Approach 1:
The patent segments the map interface by identifying a specific user attention spot and dividing content items into groups based on their spatial relationship to this spot. This segmentation approach simplifies the ranking logic by creating clear spatial zones rather than requiring complex multi-factor ranking algorithms.
Solution Approach 2:
The user's attention spot serves as an intermediary element that mediates between the map interface and content items. By using this intermediate reference point, the system simplifies the ranking process - content proximity to the attention spot becomes the primary ranking criterion, avoiding the need for complex relevance algorithms.
3Measurement precision
If the system tracks detailed user activity to determine attention spots, then content relevance improves, but data processing requirements increase
Solution Approach 1:
The patent extracts only the essential information needed for attention detection - specifically identifying the user's attention spot location on the map - while discarding or ignoring extraneous user activity data. This extraction approach maintains measurement precision for attention detection without requiring processing of all available user interaction data.
Solution Approach 2:
The system applies partial action by focusing on a single key metric (attention spot location) rather than comprehensively analyzing all user activity dimensions. This selective measurement achieves sufficient precision for content ranking without the computational burden of processing complete user behavior datasets.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing content items based on a location of a user's attention in a map interface. In one aspect, a method includes receiving data specifying one or more map attention spots in a viewport of a map interface presented at a user device. Each map attention spot is a location on a map of the map interface corresponding to a specified amount of user activity. Content items are identified for presentation with the map. For each content item and map attention spot, a distance between a presentation location for the content item on the map and a location of the identified map attention spot on the map is determined. A rank score for the content item based at least on a respective content item score for the content item and each determined distance for the content item.