US Patent:
20190156177, May 23, 2019
Inventors:
- San Jose CA, US
Robert Enyedi - Santa Clara CA, US
Amit Srivastava - San Jose CA, US
Elaine Lee - Fremont CA, US
Braddock Craig Gaskill - Alhambra CA, US
Tomer Lancewicki - Jersey City NJ, US
Xinyu Zhang - San Jose CA, US
Jayanth Vasudevan - Fremont CA, US
Dominique Jean Bouchon - Cupertino CA, US
International Classification:
G06N 3/00
G06N 99/00
G06F 17/30
G06F 17/27
Abstract:
Aspect pre-selection techniques using machine learning are described. In one example, an artificial assistant system is configured to implement a chat bot. A user then engages in a first natural-language conversation. As part of this first natural-language conversation, a communication is generated by the chat bot to prompt the user to specify an aspect of a category that is a subject of a first natural-language conversation and user data is received in response. Data that describes this first natural-language conversation is used to train a model using machine learning. Data, is then be received by the chat bot as part of a second natural-language conversation. This data, from the second natural-language conversation, is processed using the model as part of machine learning to generate the second search query to include the aspect of the category automatically and without user intervention.
