Adobe, Inc.

Atharv Tyagi

Atanu Ranjan Sinha

Sunav Choudhary

Sapthotharan Krishnan Nair

Manoj Ghuhan Arivazhagan

Atharva Anand Joshi

Sarthak Chakraborty

Shivi Gupta

Yuvraj

A system includes a representation generator subsystem configured to execute a user representation model and a task prediction model to generate a user representation for a user. The user representation model receives user event sequence data comprises a sequence of user interactions with the system. The task prediction model is configured to train the user representation model. The user representation includes a vector of a predetermined size that represents the user event sequence data and is generated by applying the trained user representation model to the user event sequence data. A storage requirement of the user representation is less than a storage space requirement of the user event sequence data. The system includes a data store configured for storing the user representation in a user profile associated with the user.

Generating concise and common user representations for edge systems from event sequence data stored on hub systems

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Delhi, India

Atharv Tyagi