Dynamic Map Ad Selection via Zoom Level Auctions
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Solution Overview
Problem
Current online map services lack an efficient mechanism for selecting and presenting targeted advertisements within map spaces based on user interactions and zoom levels, leading to suboptimal ad placement and revenue generation for publishers.
Innovation Solution
A system and method for selecting content items, such as advertisements, within a map space by receiving map requests with viewport data, identifying content item spaces, and performing auctions based on bids that consider zoom level and display region, utilizing a map server and content server to integrate and track advertisements, ensuring relevant ad placement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional online map services present advertisements in map spaces, then publishers can generate revenue through ad placement, but the advertisements are not dynamically selected based on user interactions and zoom levels, leading to suboptimal ad placement and reduced user engagement
Solution Approach 1:
The system dynamically selects advertisements based on real-time parameters including zoom level, display region, and user interactions. The ad selection is not static but adapts continuously as users interact with the map, changing zoom levels, or exploring different regions, thereby resolving the contradiction between revenue generation and adaptability.
Solution Approach 2:
The patent utilizes changes in map parameters (zoom level, display region, user location) to trigger different ad selections. When any of these parameters change, the system re-evaluates and selects appropriate advertisements, making the ad placement system versatile and adaptive while maintaining revenue generation through targeted advertising.
2Reliability
If the system performs auctions for content item spaces based on viewport data and zoom levels, then ad relevance and user engagement are improved, but the system complexity increases due to multiple servers and auction mechanisms
Solution Approach 1:
The system is segmented into distinct functional components: map server for handling map requests, content server for managing advertisements and conducting auctions, and coordination mechanisms for integrating these functions. This segmentation allows each component to specialize in its function, improving ad relevance through dedicated auction logic while managing complexity through modular architecture.
Solution Approach 2:
The patent introduces intermediary components that coordinate between the map server and content server, managing the auction process and ad selection without requiring direct complex interactions between all system elements. This intermediary layer simplifies the overall system structure while enabling sophisticated ad relevance mechanisms.
3Manufacturing precision
If content item spaces are identified by border spaces in the map and auctions are performed based on bids, then precise ad placement is achieved, but the difficulty of detecting and measuring appropriate ad spaces increases
Solution Approach 1:
The system performs preliminary identification of content item spaces based on map border spaces before conducting auctions. By pre-defining valid ad placement areas using map boundaries and features, the system simplifies the detection process while ensuring precise ad placement within appropriate regions, resolving the contradiction between precision and detection difficulty.
Data Source
AI summary
Systems and methods for selecting advertisements for presentation in a map space are disclosed. Map requests are received, map spaces identified, advertisement bids are received for advertisement space within the map spaces, and advertisements are selected for presentation in the map space based on the advertisement bids. The advertisement bids can be selected through an auction.