Microsoft Technology Licensing, LLC

Gaurav Agarwal

Charles J Migos

Majd Bakar

David L De Heer

Pradip Kumar Fatehpuria

Francis Tsui

Victor S Lee

Saliha Azzam

Tu Huy Phan

Ahmed Mohamed Elbahtemy

Nicholas Van Joseph Caldwell

In various embodiments, methods and systems for language scaling a natural language processing system (NLPS) are provided. A database schema of a database is accessed. The database schema includes entities that are defined in a query natural language different from an NLPS natural language upon which NLPS components are built. The entities are communicated to a machine translation service and top translations. A translated database schema model is generated based on the entities and translations. When a query associated with the query natural language and the database schema is received, a query translation is generated. The query translation comprises selectively translated portions of the query based on a selective translation mechanism that includes accessing the machine translation service to translate selected portions of the query. The selected portions are selected based on the translated database schema. The query translation is executed on the NLPS components to identify query results.

Language scaling platform for natural language processing systems

Various embodiments related to delivery of advertising content for video on-demand are disclosed. One example embodiment comprises receiving a set of VOD metadata including a first configuration of ad avails to be included in a VOD content item. The first configuration specifies a first set of locations of ad avails and a size of each ad avail in the first configuration. The method further includes comparing the VOD metadata to a set of one or more policy rules specifying a second configuration of ad avails to be included in the VOD content item, the second configuration of ad avails specifying a second set of locations of ad avails and a size of each ad avail in the second configuration. The method further includes determining a number of advertisements to be included in the VOD content item based upon a result of the comparing and obtaining an ad decision.

Controlling on-demand video trick mode enablement

Methods are disclosed for measuring ad impressions and receiving feedback on local ad assets inserted into a video transport stream at the set top box level. Each set top box stores the number of times an ad asset is inserted into an ad avail, along with a variety of other information relating to the playback of the ad asset. This measurement data is aggregated and sent to the ad decision service. In order to balance bandwidth usage, each set top box may report its measurement data to the ad decision service at a different time interval that is randomly selected. As it is desirable to receive the data in a timely manner, the random intervals may be confined so that all measurement data is reported within a predefined time period, such as for example over a twelve hour period.

Measurement and reporting of set top box inserted AD impressions

Methods are disclosed for inserting local ad assets into a video transport stream at the set top box level. The media advertising platform of the present system works in conjunction with existing platforms, such as an advertising decision service and a media platform. The present system further includes a client resident on end user set top boxes. In general, the present system operates by pre-caching advertisements to a set top box or boxes within a household or elsewhere. Each set top box is also assigned to particular groups, based on characteristics of the user of that set top box. Group membership information is also sent to the set top box and stored. The present system sends the set top box a decision matrix based on group memberships to allow the set top box to select and insert an ad asset targeted to the specific set top box.

Advertisement insertion decisions for set top box management of advertisements

Controlling ad delivery for video on-demand

Growing community of inventors

San Francisco, CA, United States of America

Gaurav Agarwal