Yahoo Assets LLC

Verizon Media Inc.

Yahoo Ad Tech LLC

Srinath Ravindran

Lakshmi Narayan Bhamidipati

Chander Jayaraman Iyer

Mahmoudreza Abasi

Ivan Stojkovic

Shubham Agrawal

Narayan Bhamidipati

Richard Hin-Fai Tang

Eric Ye

Kuang-chih Lee

Jian Yang

Suleyman Cetintas

Shaunak Mishra

Djordje Gligorijevic

Mohammad Saberian

Vishal Ramesh Raithatha

Pradhan Pattanayak

Yichao Zhou

Martin Pavlovski

Jelena Gligorijevic

Shabhareesh Komirishetty

Sandeep Soni

Hong Yao

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

Technologies for template generation using directed acyclic word graphs (DAWGs). The technologies can include receiving a first plurality of titles from a first plurality of title feeds, and sorting the first plurality of titles into a plurality of category sets. And, for each category set of the plurality of category sets, the technologies can include transforming the respective titles belonging to the category set into a trie data structure by separating words in the respective titles into nodes of the trie data structure. For each category set, the technologies can also include transforming the trie data structure into a directed acyclic word graph (DAWG) data structure. Also, for each category set, the technologies can also include generating one or more unique templates based on the DAWG data structure.

Template generation using directed acyclic word graphs

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

The technologies described herein serve contextually relevant advertisements under a guaranteed advertisement campaign. A publisher retrieves a guaranteed advertisement campaign related to a webpage available for serving an advertisement, and identifies a set of advertisements relating to the guaranteed advertisement campaign. Advertisement selecting circuitry of the publisher determines whether an advertisement that is contextually relevant to content published at the webpage is present in the set of advertisements. If there is no contextually relevant advertisement in the set of advertisements, the advertisement selecting circuitry selects an alternative advertisement from the set of advertisements that minimizes an under-delivery risk related to the guaranteed advertisement campaign. If there is a contextually relevant advertisement in the set of advertisements, the advertisement selecting circuitry selects the contextually relevant advertisement. Then, the publisher provides the selected advertisement to a client device.

System and method for contextual video advertisement serving in guaranteed display advertising

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Santa Clara, CA, United States of America

Srinath Ravindran