Yahoo Ad Tech LLC

Yahoo Assets LLC

Ivan Stojkovic

Lakshmi Narayan Bhamidipati

Srinath Ravindran

Chander Jayaraman Iyer

Shubham Agrawal

Eric Ye

Djordje Gligorijevic

Richard Hin-Fai Tang

Martin Pavlovski

Jelena Gligorijevic

Shabhareesh Komirishetty

One or more computing devices, systems, and/or methods are provided. In an example, an internet resource identification item associated with one or more internet resources may be identified. User activity information associated with a plurality of events may be analyzed to determine a plurality of sets of text associated with the internet resource identification item, wherein each set of text of the plurality of sets of text is associated with an event, of the plurality of events, associated with an internet resource of the one or more internet resources. A plurality of term representations may be determined based upon the plurality of sets of text. A user intention-based representation associated with the internet resource identification item may be generated based upon the plurality of term representations. A content item may be selected for presentation via a client device based upon the user intention-based representation.

Determination of user intention-based representations of internet resource identification items and selection of content items

One or more computing devices, systems, and/or methods for generating time-preserving embeddings are provided. User trails of user activities performed by users are generated. Frequencies at which the activities were performed are identified. Indices are assigned to a set of activities identified from the activities as having frequencies above a threshold. Activity descriptions of the set of activities are mapped to the indices to generate a vocabulary. A model is trained using the user trails, timestamps of the activities, and the vocabulary to learn a set of time-preserving embeddings.

Time-preserving embeddings

Growing community of inventors

San Jose, CA, United States of America

Ivan Stojkovic