Facebook, Inc.

Michael Benjamin Nowak

Dean Griffin Eckles

Ye Lu

Breno Pompeu Roberto

Yuankai Ge

Evan Gabriel Brooks

Omid Aziz

Jonathan B Gheller

Matthew Ethan Warshauer

Wojciech Galuba

Bradley Wu

Stefanie Lynn Ostrowski

Brady R Lauback

Flavio Oliveira

Brent Bannon

John Jarman Rogers, Jr

Systems, methods, and non-transitory computer-readable media can determine one or more social networking system anniversary events associated with a first user, the anniversary event having a month and a day that is identical to the current month and day. The one or more anniversary events are filtered using filtering criteria. An indication, such as a notification or a promotion, relating to the one or more anniversary events is generated based on satisfaction of the filtering criteria.

Systems and methods for providing anniversary information

Exemplary methods, apparatuses, and systems generate a first candidate list of users that meet a first set one or more characteristics and a second candidate list of users that meet a second set one or more characteristics. When a user appears in both of the first and second candidate lists, the user is selected to receive only the first survey or only the second survey based upon a first priority value for the first survey and a second priority value for the second survey.

Survey targeting

An embodiment of a system and method of surveying users on a social networking system is described which limits the frequency in which any one user is surveyed. Users are assigned into a multi-layered survey pool based on a hash value derived from a user identification number for the online social network that is assigned to the user. Users are randomly offered the opportunity to take a survey, and the subject matter of the survey is at least partially determined by the layer from which the survey obtains its sample populace.

Survey segmentation

A social networking system obtains linguistic data from a user's text communications on the social networking system. For example, occurrences of words in various types of communications by the user in the social networking system are determined. The linguistic data and non-linguistic data associated with the user are used in a trained model to predict one or more personality characteristics for the user. The inferred personality characteristics are stored in connection with the user's profile, and may be used for targeting, ranking, selecting versions of products, and various other purposes.

Determining user personality characteristics from social networking system communications and characteristics

Growing community of inventors

San Francisco, CA, United States of America

Michael Benjamin Nowak