Facebook, Inc.

Thomas Lento

Itamar Rosenn

Scott Alexander Smith

David Braginsky

Zoe Abrams Bayen

Jordan William Frank

Aleksander Gorajek

Raghotham Murthy

William Arthur Hughes

Karthik Ranganathan

Rajat Goel

Adam Kramer

Ankit Agarwal

Sameer Menon

Nileema Bharat Shingte

Adam D I Kramer

Siyang Chen

Fanghua Li

Vishwas Badarinath Sharma

Paul Ashton Jones

John Paul Costella

Hongyu Liang

The disclosed techniques provide systems and methods for anonymizing various portions of information, action logs, end-user information, and/or other data sets that are stored in non-indexed storage systems. More specifically, various anonymization procedures are described for redacting UII and/or replacing UII in raw data with randomly generated information (RGI). The anonymization process is performed on a rolling basis as raw data is received. An anonymization mapping table maps (or associates) the replaced UII in the anonymized data to the RGI, and eventually all raw data can be deleted.

Anonymizing user identifiable information

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

A data-logging framework ('logger') includes a configuration file in which an application can define various data fields and locations at which the data fields are to be logged. Some data fields include validating functions that are used by the logger to determine whether a value of a data field is valid. The application can also define (a) canonical data fields using the logger and (b) derived data fields. Upon receiving the data fields and their values from the application, the logger can determine whether the data fields are defined in the configuration file, validate the values, and log the values at the specified locations. Values of any canonical and/or derived data fields are obtained by the logger and logged at the specified locations.

Data logging framework

A social networking system facilitates a user's creation of a group of other users from among the user's connections in the user's social network. The created groups may be used, for example, to publish information to certain user-defined groups or to define privacy settings or other access rights to the user's content according to such user-defined groups. When a user adds connections to a group, the social networking system determines suggested connections that have not been added to the group, based on a similarity of the suggested connections with one or more of the connections who have been added to the group. These suggested connections are then presented to the user to facilitate the creation of the group. Both positive and negative feedback may be used to generate a useful set of suggestions, which may be updated as the user further defines the group.

Creating groups of users in a social networking system

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

Growing community of inventors

Menlo Park, CA, United States of America

Thomas Lento