Daniel P Ferrante

US Patent:

8055470, Nov 8, 2011

Filed:

Feb 14, 2008

Appl. No.:

12/031613

Inventors:

Sajjit Thampy - Sunnyvale CA, US
Daniel Ferrante - Redwood City CA, US
Amr Awadallah - Palo Alto CA, US

Assignee:

Yahoo!, Inc. - Sunnyvale CA

International Classification:

G06F 17/18

US Classification:

702179

Abstract:

The subject matter disclosed herein relates to simulation of bucket testing. In a particular implementation, cohort of users associated with a value for an engagement metric may be selected based at least in part on an intersection of first and second probability distributions. Behavior of the first and second groups may be compared based at least in part on the selected cohort of users.

US Patent:

8433785, Apr 30, 2013

Filed:

Sep 16, 2008

Appl. No.:

12/211606

Inventors:

Amr Awadallah - Palo Alto CA, US
Sajjit Thampy - Sunnyvale CA, US
Daniel Ferrante - Redwood City CA, US

Assignee:

Yahoo! Inc. - Sunnyvale CA

International Classification:

G06F 15/173

US Classification:

709224

Abstract:

Apparatuses, methods, and systems directed to detect Internet bots in communication networks. Some embodiments of the present invention allow an agent of a server to periodically record interaction events on a client system. The recorded interaction events are sent to a server and validated by a statistical test. Some embodiments of the present invention may be used to detect bots using server logs. In other embodiments, an agent of a server is able to detect and validate interaction events on a client system and the server periodically polls the agent to determine whether bots are detected on the client system.

US Patent:

20090055200, Feb 26, 2009

Filed:

Aug 20, 2007

Appl. No.:

11/841558

Inventors:

Sajjit Thampy - Sunnyvale CA, US
Daniel Ferrante - Redwood City CA, US
Amr Awadallah - Palo Alto CA, US

Assignee:

YAHOO! INC. - Sunnyvale CA

International Classification:

G06Q 99/00

US Classification:

705 1

Abstract:

Techniques are described herein for an automatic discovery and validation analyzer that identifies factors that have a particular effect on members of a population in engaging in certain activities. A baseline set and a divergent set of members of the population are identified based on whether a member has experienced a significant change in magnitude of the particular effect during a particular period of time. Differences in behaviors of members of the baseline and divergent sets are then analyzed to identify a candidate factor that corresponds to exposure to an item. Such a candidate factor is then validated as to whether it is a cause of said significant change in magnitude of the particular effect experienced by the divergent set of members.

US Patent:

20090113288, Apr 30, 2009

Filed:

Dec 21, 2007

Appl. No.:

11/962751

Inventors:

Sajjit Thampy - Sunnyvale CA, US
Daniel Ferrante - Redwood City CA, US
Amr Awadallah - Palo Alto CA, US

International Classification:

G06F 17/00

US Classification:

715234

Abstract:

Disclosed herein is a statistical approach, a win share approach, used to assign a win share value to content items. User interaction with content items is tracked, and a win share value is assigned to content items in response to a “winning” action performed by a user. Win shares associated with content items are used to identify content items that are to be presented, and can further be used to identify an optimal presentation, e.g., layout, presentation frequency, etc., of content items that is to be presented.

US Patent:

20170153903, Jun 1, 2017

Filed:

Feb 9, 2017

Appl. No.:

15/428681

Inventors:

- Sunnyvale CA, US
Daniel FERRANTE - Redwood City CA, US
Amr AWADALLAH - Palo Alto CA, US

International Classification:

G06F 9/44
G06F 17/30
G06F 17/21

Abstract:

Disclosed herein is a statistical approach, a win share approach, used to assign a win share value to content items. User interaction with content items is tracked, and a win share value is assigned to content items in response to a “winning” action performed by a user. Win shares associated with content items are used to identify content items that are to be presented, and can further be used to identify an optimal presentation, e.g., layout, presentation frequency, etc., of content items that is to be presented.

US Patent:

20140289237, Sep 25, 2014

Filed:

Jun 4, 2014

Appl. No.:

14/296429

Inventors:

- Menlo Park CA, US
Jennifer Burge - San Francisco CA, US
Lars Seren Backstrom - Mountain View CA, US
Florin Ratiu - Mountain View CA, US
Daniel Ferrante - Redwood City CA, US

International Classification:

G06F 17/30

US Classification:

707727

Abstract:

To suggest new connections to a user of a social networking system, the system generates a set of candidate users to whom the user has not already formed a connection. The system determines the likelihood that the user will connect to each candidate user if suggested to do so, and it also computes the value to the social networking system if the user does connect to the candidate user. Then, the system computes an expected value score for each candidate user based on the corresponding likelihood and the value. The candidate users are ranked and the suggestions are provided to the user based on the candidate users' expected value scores. The social networking system can suggest other actions to a user in addition to forming a new connection with other users.

US Patent:

20140114774, Apr 24, 2014

Filed:

Oct 24, 2012

Appl. No.:

13/659695

Inventors:

- Menlo Park CA, US
Brian Piepgrass - Mountain View CA, US
Ching-Chih Weng - Fremont CA, US
Daniel Ferrante - Palo Alto CA, US
Deeptanshu Verma - Sunnyvale CA, US
Peter Martinazzi - San Francisco CA, US
Thomas Alison - Palo Alto CA, US
Ziqing Mao - Mountain View CA, US

Assignee:

Facebook, Inc. - Menlo Park CA

International Classification:

H04L 29/08
G06Q 50/00

US Classification:

705 1473, 709204

Abstract:

Techniques introduced here include a system and method for determining whether to provide a user of a social networking system with candidate users (i.e., potential contacts) with whom the user does not already have any connections with. In some embodiments, the system generates a set of candidate users based on a value (e.g., to the social networking system) associated with each potential connection formed between the user and the set of candidate users. In one or more embodiments, the system ranks the candidate users based on their connection-value to the social networking system and provides the ranked candidate users as suggested new connections to the user.