Chinmay D Karande

20210350411, Nov 11, 2021

Jul 23, 2021

17/384220

- Menlo Park CA, US
Chinmay Deepak Karande - Mountain View CA, US

G06Q 30/02
G06Q 50/00

A social networking system provides content items to a user via a feed that may include one or more sponsored content items. Multiple sponsored content items may be included in a set that is presented in the feed via a scrollable content unit that presents a sponsored content item from the set and presents additional sponsored content items from the set when user interaction is received. To place sponsored content items in the feed, the social networking system scores a set of sponsored content items based on prior user interactions with content presented via scrollable content units and a bid amount of a sponsored content item in the set. The set of sponsored content items is ranked among other sponsored content items based on its score. If the set of sponsored content items is selected for inclusion in the feed, the social networking system orders the sponsored content items in the set for presentation via the scrollable content unit.

20190073691, Mar 7, 2019

Sep 1, 2017

15/694730

- Menlo Park CA, US
Max K. Comer - San Francisco CA, US
Chinmay Deepak Karande - Mountain View CA, US
Ruoyu Zhang - Morgan Hill CA, US
Joshua Elliot Geller - Mountain View CA, US
Jie Xu - Foster City CA, US
Nuwan Senaratna - Sunnyvale CA, US

G06Q 30/02

A method for enabling a content sponsor to design a cost-effective content campaign. The content sponsor initiates a content campaign. The content sponsor is presented with a set of proposed channels on which to display the content and either accepts the proposed channels or selects an alternative set of channels. If an alternative set of channels is chosen, the content sponsor is presented with an alert comprising data predicting the result of presenting the content on the alternative set of channels. If the content sponsor does not heed the alert, the content sponsor is presented with an option to implement a split test, which involves implementing multiple content campaigns using different sets of channels. Finally, a result report is presented to the content sponsor. In some embodiments, the result report comprises a counterfactual report comparing the results of two or more campaigns implemented using different sets of channels.

20190005575, Jan 3, 2019

Jun 30, 2017

15/640052

- Menlo Park CA, US
Chinmay Deepak Karande - Mountain View CA, US
Shyamsundar Rajaram - San Francisco CA, US
Leon R. Cho - Santa Clara CA, US
Rami Mahdi - San Mateo CA, US
Sushma Nagesh Bannur - Cupertino CA, US

G06Q 30/08
G06Q 30/06

An online system calculates bids for content items to display to users based on the value of a product described in the content item and the likelihood of a viewing user purchasing the product. The online system identifies an impression opportunity for an ad request and computes an expected value of the conversion and a likelihood of the conversion. The online system computes a bid amount based on the expected conversion value and the likelihood of the conversion. Bids based on the value of the conversion allow a third party system offering the product to optimize for the value of each conversion instead of the conversion rate.

20170193555, Jul 6, 2017

Jan 2, 2016

14/986675

- Menlo Park CA, US
Chinmay Deepak Karande - Mountain View CA, US
David Rael Abelman - London, GB
Robert Oliver Burns Zeldin - Los Altos CA, US

G06Q 30/02
G06F 17/30
H04L 29/08

An online system selects content items for a user to increase probabilities of the user remembering the content items after presentation. The online system generates one or more models based on information describing amounts of time users have viewed previously presented content items. Hence, a model associated with a user predicts an amount of time the user will view a content item. When selecting content items for the user, the online system selects one or more content items that the user is predicted to view for an amount of time within a specific range, which may be based on amounts of times other users have viewed the content item or content items similar to the content item. For example, the online system increases a probability of selecting a content item the user is predicted to view for an amount of time within the specific range.

20170068987, Mar 9, 2017

Sep 8, 2015

14/847070

- Menlo Park CA, US
William Bullock - Palo Alto CA, US
Nathan John Davis - Woodside CA, US
Chinmay Deepak Karande - Mountain View CA, US

G06Q 30/02

An advertisement system measures an ad lift metric for advertisement campaigns, which indicates the increase in conversions that can be attributed to the advertisement campaign. As impression opportunities become available for users for the ad in the lift study, the advertisement system determines whether the user is in a test group or a control group. To limit bias in the lift study, rather than holding out ads from being provided to users after the ad has been selected for the user and right before the impression, the system holds out the ads at a higher level in the ad selection process. In this manner, not all test group users receive the advertisement. The system computes the lift metric as e.g., the incremental lift (difference between conversion rates in the test and control groups), and this is divided by conversion rate of an exposed target group minus the incremental lift.

20160379250, Dec 29, 2016

Jun 26, 2015

14/752040

- Menlo Park CA, US
Chinmay Deepak Karande - Mountain View CA, US

G06Q 30/02
G06Q 50/00

A social networking system provides content items to a user via a feed that may include one or more sponsored content items. Multiple sponsored content items may be included in a set that is presented in the feed via a scrollable content unit that presents a sponsored content item from the set and presents additional sponsored content items from the set when user interaction is received. To place sponsored content items in the feed, the social networking system scores a set of sponsored content items based on prior user interactions with content presented via scrollable content units and a bid amount of a sponsored content item in the set. The set of sponsored content items is ranked among other sponsored content items based on its score. If the set of sponsored content items is selected for inclusion in the feed, the social networking system orders the sponsored content items in the set for presentation via the scrollable content unit.

20160292714, Oct 6, 2016

Apr 3, 2015

14/678897

- Menlo Park CA, US
Chinmay Deepak Karande - Mountain View CA, US
Tanmoy Chakraborty - San Mateo CA, US

G06Q 30/02

For an advertisement (“ad”) campaign including multiple ad requests, an advertiser may request presentation of a variety of ad requests in the ad campaign as well as specify an objective to be completed by the ad campaign during a time interval and subject to a budget. An online system presenting advertisement content may modify bid amounts associated with ad requests in the ad campaign using advertisement-specific bid adjustment values to select a more diverse range of ad requests from the ad campaign. To satisfy the objective without exceeding the budget, the online system also applies a pacing multiplier to bid amounts of ad requests selected from the ad campaign. As ad requests from the ad campaign are presented, the online system modifies the ad request-specific bid amounts and the pacing multiplier at different rates.

20160292717, Oct 6, 2016

Apr 3, 2015

14/678862

- Menlo Park CA, US
Chinmay Deepak Karande - Mountain View CA, US
Tanmoy Chakraborty - San Mateo CA, US

G06Q 30/02
G06Q 50/00

For ad campaigns including multiple advertisement (“ad”) requests each including an ad creative, which are automatically selected, a social networking system, or any other suitable online system, may bias selection of ad requests from an ad campaign towards early-selected ad requests with positive user interactions, limiting the number of ad requests selected from the ad campaign. To increase the likelihood of various advertisements in an ad campaign being evaluated for presentation to users, the social networking system modifies bid amounts associated with advertisements in the ad campaign using advertisement-specific bid adjustments based on interactions with the ad requests. Based on the modified bid amounts, the social networking system selects ad requests from the ad campaign to evaluate for presentation to a user.