View source for 18391225. Distance Based Search Ranking Demotion simplified abstract (Google LLC)

=Distance Based Search Ranking Demotion=


==Organization Name==

[[:Category:Google LLC|Google LLC]]


[[Category:Google LLC]]

==Inventor(s)==

[[:Category:Neha Arora of San Carlos CA (US)|Neha Arora of San Carlos CA (US)]][[Category:Neha Arora of San Carlos CA (US)]]

==Distance Based Search Ranking Demotion - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18391225 titled 'Distance Based Search Ranking Demotion

==Simplified Explanation==
The patent application describes methods, systems, and apparatus for processing local search results based on the proximity of the user device to the location of the local documents. If a local document is deemed eligible for demotion, it is ranked lower if other local documents are closer to the user's location.

* Determines if a local document should be demoted based on proximity to user's location.
* Calculates proximity measures for other local documents in relation to user's location.
* Demotes the local document if other documents are closer to the user.

==Key Features and Innovation==
* Utilizes proximity measures to determine demotion of local search results.
* Considers user's location and specified locations of local documents for ranking.
* Improves relevance of search results based on user's proximity to local businesses.

==Potential Applications==
The technology can be applied in local search engines, navigation apps, and location-based services to enhance the accuracy of search results based on user proximity.

==Problems Solved==
* Addresses the challenge of ranking local search results accurately based on user location.
* Improves the user experience by providing more relevant search results for local businesses.

==Benefits==
* Enhances the efficiency of local search engines.
* Increases user satisfaction by delivering more personalized search results.
* Improves the visibility of local businesses to nearby users.

==Commercial Applications==
* Local search engines can integrate this technology to improve the accuracy of search results.
* Navigation apps can utilize this innovation to provide users with more relevant location-based information.
* Location-based services can benefit from enhanced proximity-based ranking of local businesses.

==Questions about the Technology==
===How does this technology impact the user experience in local search applications?===
This technology enhances the user experience by providing more relevant search results based on the user's proximity to local businesses, improving the overall search accuracy and user satisfaction.

===What are the potential implications of this technology for location-based services?===
This technology can significantly improve the accuracy and relevance of location-based services by ensuring that users receive information about nearby businesses based on their proximity, leading to more personalized and useful recommendations.


==Original Abstract Submitted==

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for processing local search results. In one aspect, a method determines a first local document in a set of local documents for search results is eligible for a demotion operation. The determination is based at least in part on a proximity measure based on the location of the user device and a location specified for the first local document. In response to the determination, for each other local documents in the set of local documents, a proximity measure location of the user device and the location specified for the other local document is determined. The first local document is demoted in its ranking when at least one of the proximity measures indicates a respective other local document has a specified location that is within a threshold distance of the location of the user device.



[[Category:G06F16/2457]]
[[Category:G06F16/248]]
[[Category:G06F16/29]]
[[Category:G06F16/9535]]
[[Category:G06F16/9537]]
[[Category:H04L101/69]]
[[Category:CPC_G06F16/24578]]