Sameer Jayendra Shah

US Patent:

20190361928, Nov 28, 2019

Filed:

Aug 12, 2019

Appl. No.:

16/538074

Inventors:

- New York NY, US
Yu-Chin Tai - Sunnyvale CA, US
Sameer Vasnt Shah - Sunnyvale CA, US
Jeehaeng Lee - San Jose CA, US
Kuo-Hsien Hsu - Cupertino CA, US
Katrina Kimball Clark Tempero - San Mateo CA, US
Xingjian Zhang - Sunnyvale CA, US

International Classification:

G06F 16/29
G06F 16/9535

Abstract:

As provided herein, a list of locales of interest in a location may be sorted into one or more categories. A user performing a search for a locale of interest (e.g., a restaurant) may be identified. A local score may be assigned to the locale of interest based upon a number of local users (e.g., users residing in the location) that perform the search. A second user may be determined to be near the locale of interest. A category of interest may be determined for the second user (e.g., an interest in local non-tourist restaurants). Responsive to the category of interest corresponding to the category and the local score of the locale of interest exceeding an interest threshold, the second user may be provided with a recommendation to go to the locale of interest. The locale of interest may be a local favorite restaurant rather than a tourist trap.

US Patent:

20170053022, Feb 23, 2017

Filed:

Aug 17, 2015

Appl. No.:

14/827592

Inventors:

- Sunnyvale CA, US
Yu-Chin Tai - Sunnyvale CA, US
Sameer Vasnt Shah - Sunnyvale CA, US
Jeehaeng Lee - San Jose CA, US
Kuo-Hsien Hsu - Cupertino CA, US
Katrina Kimball Clark Tempero - San Mateo CA, US
Xingjian Zhang - Sunnyvale CA, US

International Classification:

G06F 17/30

Abstract:

As provided herein, a list of locales of interest in a location may be sorted into one or more categories. A user performing a search for a locale of interest (e.g., a restaurant) may be identified. A local score may be assigned to the locale of interest based upon a number of local users (e.g., users residing in the location) that perform the search. A second user may be determined to be near the locale of interest. A category of interest may be determined for the second user (e.g., an interest in local non-tourist restaurants). Responsive to the category of interest corresponding to the category and the local score of the locale of interest exceeding an interest threshold, the second user may be provided with a recommendation to go to the locale of interest. The locale of interest may be a local favorite restaurant rather than a tourist trap.