Microsoft Technology Licensing, LLC

Amazon Technologies, Inc.

Rushi P Bhatt

Rajeev Ramnarain Rastogi

Srujana Merugu

Varnit Agnihotri

Tomer Cohen

Parinkumar D Shah

Erran Berger

Sumit Srivastava

Strahinja Markovic

Suhit Sinha

Vivek Nelamangala

Sara F Todd

Technologies for generating a multi-modal representation of an image based on the image content are provided. The disclosed techniques include receiving an image, to be classified, that comprises one or more embedded text characters. The one or more embedded text characters are identified from the image and a first machine learning model is used to generate a text vector that represents a numerical representation of the one or more embedded text characters. A second machine learning model is used to generate an image vector that represents a numerical representation of the graphical portion of the image. The text vector and the image vector are used as input to generate a multi-modal vector that contains information from both the text vector and the image vector. The image may be classified into one of a plurality of image classifications based upon the information in the multi-modal vector.

Generating multi modal image representation for an image

A system, method, and apparatus are provided for propagating a status among related events. A relationship component of the system maintains a graph of the related events and, upon assignment of a status to an event identifies one or more related events (e.g., the root event, other ancestor events, descendant events). A retention component of the system includes multiple nodes that maintain user records (e.g., sharded by user identifier) storing events associated with the members and that also maintain separate event status tables to identify statuses of selected events. For example, an event status table may store statuses of root events and/or other ancestor events from which a given subsequent event may inherit or derive a status. An event status may reflect a quality or characteristic of the event (e.g., spam, low quality, language of the event), a status of the associated user (e.g., fame, level of influence), etc.

Propagating a status among related events

Data mining systems and methods are disclosed for associating users with items based on underlying personas. The system associates each user account with one or more underlying personas that contribute to the user's interactions with different items, and predicts an active persona for a user based on the user's recent interactions with items and make item related recommendations that are oriented to the active persona. Thus, for example, even though multiple individuals may share a computer and/or account, the content (e.g., item recommendations) presented during a browsing session may be based primarily or exclusively on the past browsing behaviors of the particular individual conducting the browsing session.

Persona based data mining system

Data mining systems and methods are disclosed for associating users with items based on underlying personas. The system associates each user account with one or more underlying personas that contribute to the user's interactions with different items, and models user-to-item associations in accordance with the underlying personas based on probabilistic matrix factorization. The system may further predict an active persona for a user based on the user's recent interactions with items and make item related recommendations that are oriented to the active persona.

Probabilistic matrix factorization system based on personas

Growing community of inventors

Bengaluru, India

Rushi P Bhatt