Facebook, Inc.

Yahoo! Inc.

Yahoo Ad Tech LLC

Daniel Ferrante

Sajjit Thampy

Amr Awadallah

James Han Wang

Lars Seren Backstrom

Florin Ratiu

Jennifer A Burge

Peter Henry Martinazzi

Thomas Alison

Alexander Paul Schultz

Ching-Chih Weng

Ziqing Mao

Brian Piepgrass

Deeptanshu Verma

Jen Burge

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.

Computerized system and method for analyzing user interactions with digital content and providing an optimized content presentation of such digital content

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.

Methods and systems for determining use and content of PYMK based on value model

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.

Suggesting connections to a user based on an expected value of the suggestion to the social networking system

Suggesting connections to users with low activity in a social networking system

Content optimization system and method

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.

System and method for detecting internet bots

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.

Simulated bucket testing

Growing community of inventors

Redwood City, CA, United States of America

Daniel Ferrante