Google llc (20240232273). Cluster Search on Maps Applications simplified abstract
Contents
Cluster Search on Maps Applications
Organization Name
Inventor(s)
Ovidiu Aurelian Pana of Lakewood CO (US)
Cluster Search on Maps Applications - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240232273 titled 'Cluster Search on Maps Applications
The patent application describes methods, systems, and apparatus for clustering points of interest (POIs) based on their locations and distances from each other.
- Receiving a search query for a collection of POIs
- Identifying locations for each POI in the collection
- Determining distances between each POI
- Clustering POIs based on their distances
- Transmitting clustered location data for each cluster of POIs
Potential Applications: - Location-based services - Travel and tourism planning - Real estate analysis - Urban planning and development - Marketing and advertising targeting
Problems Solved: - Efficient organization of POIs - Improved search and recommendation systems - Enhanced user experience in location-based applications
Benefits: - Better understanding of spatial relationships between POIs - More accurate clustering for targeted analysis - Enhanced decision-making based on clustered data
Commercial Applications: Title: "Enhanced Location Clustering for Targeted Marketing" This technology can be used in marketing strategies to target specific groups of customers based on their proximity to clustered POIs. It can also be applied in real estate development to identify optimal locations for new properties.
Questions about Location Clustering: 1. How does this technology improve the efficiency of location-based services? 2. What are the key factors considered in determining the distances between POIs?
Frequently Updated Research: Stay updated on advancements in location clustering algorithms and their applications in various industries to maximize the benefits of this technology.
Original Abstract Submitted
methods, systems, and apparatus, including computer-readable storage media for clustering points of interest (pois). a method includes receiving, by one or more processors, a search query for a collection of pois. the one or more processors may identify one or more locations for each poi in the collection of pois. based on the one or more locations for each poi in the collection of pois, the one or more processors may determine the distances between each poi. based on the distances between each poi, the one or more processors may determine one or more clusters of pois. the one or more processors may transmit clustered location data, the clustered location data including, for each of the one or more clusters of pois, the location data of each poi in the cluster.
