Yahoo Assets LLC

Verizon Media Inc.

Richard Hin-Fai Tang

Lakshmi Narayan Bhamidipati

Srinath Ravindran

Shaunak Mishra

Djordje Gligorijevic

Chander Jayaraman Iyer

Ivan Stojkovic

Mahmoudreza Abasi

Vishal Ramesh Raithatha

Martin Pavlovski

Yichao Zhou

Jelena Gligorijevic

Shubham Agrawal

Shabhareesh Komirishetty

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

One or more computing devices, systems, and/or methods for selecting content for transmission to devices are provided. First activity performed using a content interface on a device may be detected. First activity information associated with the first activity may be stored in an activity profile associated with the device. An activity database may be analyzed based upon the activity profile to identify one or more activity identifiers of the activity database. The activity database may comprise a plurality of activity identifiers and/or funnel stage tags associated with the plurality of activity identifiers. A request for content, associated with an entity, may be received from the device. A funnel stage score may be determined based upon one or more funnel stage tags associated with the entity and/or the one or more activity identifiers. A content item, associated with the entity, may be selected based upon the funnel stage score.

Stage-based content item selection and transmission

Growing community of inventors

Saratoga, CA, United States of America

Richard Hin-Fai Tang