Oath Inc.

Verizon Media Inc.

Yahoo Ad Tech LLC

Adap.tv, Inc.

Davood Shamsi

Sasinda Rukshan Premarathna

Cheng Li

Bhagyasri Canumalla

Hsiao-Ching Lin

Osnat Benari

Yanbo Li

Ruiheng Wang

Brendan Kitts

Jing Wang

Hans Marius Holtan

Liang Wei

Garrett James Badeau

Yuan Tian

Andrew George Potter

Yongbo Zeng

William Edward Pence

Sergei Tolkachov

Wan Kim Mok

Systems and methods are disclosed for determining an engagement level of a user interacting with an electronic program, comprising receiving or determining a decision node tree, each node in the decision node tree corresponding to a user decision point in the electronic program, determining a number of levels in the decision node tree, determining a user traversed count comprising a number of levels the user has traversed in the decision node tree, and determining the engagement level of the user with the electronic program based upon the user traversed count and the number of levels in the decision node tree.

Systems and methods for determining user engagement with electronic devices

Systems and methods are disclosed for demographic prediction based on aggregated training data. The predictions are based on auditing aggregated data associated with identified properties of web requests. The audited information is based on a batch of prior web requests that have the same property and have been audited by a measurement company.

Demographic prediction using aggregated labeled data

Embodiments of the present invention provide systems, methods, and computer storage media directed at interpreting a query related to a dataset to reduce ambiguity of the query. In embodiments, a method includes determining potential meanings of words of a natural language query related to a particular dataset. A matching graph can be generated for the words of the query and the potential meanings for the words including similarity scores for the potential meanings. The method further includes reducing ambiguity of the matching graph by assigning selected potential meanings to the words. Upon reducing ambiguity of the matching graph, the matching graph can be used to provide a response to the query. Other embodiments may be described and/or claimed herein.

Reducing query ambiguity using graph matching

Embodiments of the present invention provide systems, methods, and computer storage media directed at transforming event logs into features for use in machine learning. In embodiments, a method may include receiving an event log for a user. The event log can indicate an occurrence of a first event associated with the user. The method can also include generating a feature value for the first event. The feature value can be indicative of an amount of time that has passed since the occurrence of the first event. Based, at least in part, on the feature value, an occurrence of a second event can be predicted utilizing a predictive model. The prediction can then be output to enable targeted content associated with the second event to be delivered to the user. Other embodiments may be described and/or claimed herein.

Feature transformation of event logs in machine learning

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New York, NY, United States of America

Davood Shamsi