GENERATING VIRTUAL SPACE HEADERS UTILIZING MACHINE-LEARNED MODELS

Organization Name

Inventor(s)

Melissa Aubrie Chan of San Francisco CA (US)

Maya Aditi Holikatti of San Francisco CA (US)

Rohan Kumar Reddy Venapusala Alavalapati of Roseville CA (US)

GENERATING VIRTUAL SPACE HEADERS UTILIZING MACHINE-LEARNED MODELS

This abstract first appeared for US patent application 18429312 titled 'GENERATING VIRTUAL SPACE HEADERS UTILIZING MACHINE-LEARNED MODELS

Original Abstract Submitted

Techniques for updating and/or maintaining a header of a virtual space are described herein. A communication platform may receive a request from a user profile associated with a virtual space. The request may include instructions for the communication platform perform various header updating operations. In some examples, upon receiving the request, the communication platform may identify the data (e.g., virtual space data (e.g., administrative data, user posts and/or responses, files, etc.), user data, etc.) on which to perform the header updating operation. Based on identifying the data, the communication platform may input such data to one or more machine-learning models trained to output the data consistent with the requested operation. In some examples, the communication platform may receive the data from the machine-learning model and cause the data to be displayed to the associating header of the canvas.