Facebook, Inc.

Zoe Abrams Bayen

Itamar Rosenn

Jordan William Frank

Aleksander Gorajek

Thomas Lento

William Arthur Hughes

Siyang Chen

Aude Hofleitner

Hongyu Liang

Fanghua Li

Vishwas Badarinath Sharma

Paul Ashton Jones

Walid Krichene

Techniques for estimating user attention on a website or application are provided. First activity data for a first user of a website or an application may be identified. The first activity data may indicate activities of the first user on the website or the application. A first predetermined period of inactivity may be detected in the first activity data. A response triggering event may be initiated after the first predetermined period of inactivity. An indication of a user response to the response triggering event may be monitored for. Whether the first user is passively present on the website or the application may be determined based on the monitoring for the indication of the user response.

Systems and methods for estimating user attention

Systems, methods, and non-transitory computer readable media can obtain a first event stream including one or more events of a first type, where each event of the first type is associated with a timestamp. A second event stream including one or more events of a second type can be obtained, where each event of the second type is associated with a timestamp. The first event stream and the second event stream can be merged to generate information associated with a metric relating to a system, based on the timestamps associated with the one or more events of the first type and the timestamps associated with the one or more events of the second type.

Systems and methods for measuring time spent associated with a social networking system

Exemplary methods, apparatuses, and systems store an identifier for a user device when the user device is determined to be accessing a network service and store a time at which the user device is determined to be accessing the network service for each instance of the user device being determined to be accessing the network service. Periods of time during each day of the week in which the user device is likely to accessing to the network service are determined based upon the stored identifier and times. Whether the user is likely to access the network service while at work or at home is determined based upon the determined periods of time in which user devices are likely to be accessing the network service.

Estimation of user location based upon access patterns

Techniques for receiving and processing detected events are provided. A bit array may be received from a device. Each bit value in the bit array may indicate whether a user initiated event relating to interaction with a website was detected by the device. Data regarding a start time associated with the bit array may be received. Each bit value in the bit array is associated with a time increment after the start time.

Systems and methods for receiving and processing detected events

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Mountain View, CA, United States of America

Zoe Abrams Bayen