Sarvjeet Nm SinghEl Cerrito, CA

2020001, Jan 9, 2020

Sep 16, 2019

16/572366

- Mountain View CA, US
Robert Saliba - San Francisco CA, US
Roee Livne - Sunnyvale CA, US
Sarvjeet Singh - Palo Alto CA, US

H04L 12/58
G06Q 50/00

An indication of a content item being provided to a content item platform may be received. Users associated with the content item platform may be identified and a plurality of classifications may be received. A first portion of the users associated with a first classification and a second portion of the users associated with a second classification may be identified. Notifications identifying the content item may be sent to the first portion of the users. A determination may be made as to whether an amount of time that has elapsed since the notifications have been sent to the first portion of the users satisfies a threshold amount of time. Responsive to determining that the amount of time that has elapsed satisfies the threshold amount of time, the notifications identifying the content item may be sent to the second portion of the users associated with the second classification.

2019001, Jan 10, 2019

Sep 12, 2018

16/129508

- Mountain View CA, US
Ryan Michael Rifkin - San Francisco CA, US
Jay Yagnik - Mountain View CA, US
Rasmus Larsen - San Jose CA, US
Sarvjeet Singh - Sunnyvale CA, US
Yi-fan Chen - Sunnyvale CA, US

G06Q 30/06
G06Q 30/02

Implementations include systems and methods for scoring candidates for set recommendation problems. An example method includes repeating, for each code in code arrays for items in a set of items, determining a most common value for the code. In some implementations, the method includes determining that the most common value occurs with a frequency that meets an occurrence threshold and adding the code and the most common value to set-inclusion criteria. In other implementations, the method includes determining a value for the code from a code array for a seed item and adding the code and the most common value to set-inclusion criteria when the value for the code from the code array for the seed item matches the most common value. The method may also include evaluating a similarity with a candidate item based on the set-inclusion criteria and basing a recommendation regarding the candidate item on the similarity.

2018017, Jun 21, 2018

Dec 19, 2016

15/384082

- Mountain View CA, US
Robert Saliba - San Francisco CA, US
Roee Livne - Sunnyvale CA, US
Sarvjeet Singh - Palo Alto CA, US

H04L 29/06
H04L 12/58

An indication of a content item being provided to a channel of a content item sharing platform may be received. Users associated with the channel of the content item sharing platform may be identified. Classifications of feedback of the users that are based on evaluations of the feedback from the plurality of users for other content items on the content item sharing platform may be received. A first portion of the plurality of users associated with a first classification indicating a higher rating than a second portion of the plurality of users associated with a second classification indicating a lower rating may be identified. Notifications identifying the content item may be sent to the first portion of the plurality of users associated with the first classification indicating the higher rating before the second portion associated with the second classification indicating the lower rating.