公开(公告)号：US20200097809A1

公开(公告)日：2020-03-26

申请号：US16140188

申请日：2018-09-24

Applicant: salesforce.com, inc.

Inventor： Edgar Gerardo VELASCO ,  Jayesh GOVINDARAJAN ,  Zachary ALEXANDER ,  Na CHENG ,  Anuprit KALE ,  Peter WHITE

IPC: G06N3/08 ,  G06F16/33 ,  G06N20/00 ,  G06N5/04 ,  G06F17/27 ,  G06F16/332

Abstract: A system is provided for a machine learning engine using clustered case objects in a case management system. The system includes a multi-layer neural network. The system is configured to receive case object data comprising a case object and contextual objects in the case management system associated with the case object, the contextual objects comprising word vectors, generate a context embedding for the case object using the word vectors for the contextual objects, and cluster the case object with other case objects in the case management system based on the context embedding for the case object and other context embeddings for the other case objects.

公开(公告)号：US20210150144A1

公开(公告)日：2021-05-20

申请号：US17099083

申请日：2020-11-16

Applicant: Salesforce.com, Inc.

Inventor： Anuprit KALE ,  Weiping Peng ,  Na Cheng ,  Rick Lindstrom ,  Zachary Alexander

IPC: G06F40/289 ,  G06F16/33 ,  G06F16/31 ,  G06F16/332

Abstract: DESCRIBED HEREIN ARE SYSTEMS, APPARATUS, METHODS AND COMPUTER PROGRAM PRODUCTS FOR MACHINE LEARNING INTENT CLASSIFICATION. IN VARIOUS EMBODIMENTS, HISTORICAL UTTERANCES PROVIDED BY USERS MAY BE UTILIZED FOR BOT TRAINING. CONTEXT AND PERSONALLY IDENTIFIABLE INFORMATION MAY BE REMOVED FROM THE UTTERANCES. THE UTTERANCES MAY BE ASSOCIATED WITH VECTORS. THE UTTERANCES AND VECTORS MAY BE USED TO DETERMINE RECOMMENDATIONS.