18429337. VIRTUAL SPACE QUESTION PREDICTION USING MACHINE-LEARNED MODELS (Salesforce, Inc.)
VIRTUAL SPACE QUESTION PREDICTION USING MACHINE-LEARNED MODELS
Organization Name
Inventor(s)
Andrew Fong of Menlo Park CA (US)
VIRTUAL SPACE QUESTION PREDICTION USING MACHINE-LEARNED MODELS
This abstract first appeared for US patent application 18429337 titled 'VIRTUAL SPACE QUESTION PREDICTION USING MACHINE-LEARNED MODELS
Original Abstract Submitted
Techniques for displaying answers to questions via a user interface of a virtual space are discussed herein. A communication platform may receive text from a virtual space. In such examples, a user profile may be inputting the text to a compose pane such that the user profile may post the text to the virtual space. Based on receiving the text, the communication platform may input the text into a machine-learning model trained to output key words and/or phrases included in the text. The communication platform may use the output from the machine-learning model to identify a question-answer pair contained in a canvas of the virtual space. In such instances, the communication platform may display the question-answer pair via the user interface of the user device associated with the user profile. Based on the user profile selecting the question-answer pair, the communication platform may display the canvas including the question-answer pair.