公开(公告)号：US20180365091A1

公开(公告)日：2018-12-20

申请号：US15624000

申请日：2017-06-15

Applicant: salesforce.com, inc.

Inventor： J. Justin Donaldson ,  Hormoz Tarevern ,  Sadiya Hameed ,  Siddharth Srivastava ,  Feifei Jiang

IPC: G06F11/07 ,  G06N3/08 ,  G06N3/04

CPC classification number: G06F11/079 ,  G06F11/0706 ,  G06F11/0751 ,  G06F11/0772 ,  G06N3/02 ,  G06N3/04 ,  G06N3/08

Abstract: An online system identifies an assignment for a computer program error indicated in an error message by applying an assignment model to token sequences identified in the error message. The error message includes a sequence of execution paths of the computer program. Each execution path indicates a function call active in computer memory when the error was generated. In other words, the error message allows tracking of the sequence of nested paths up to the point where the error was generated. In one example, the error message is a stack trace message that reports active stack frames in computer memory during the execution of the program.

公开(公告)号：US20210149933A1

公开(公告)日：2021-05-20

申请号：US15929364

申请日：2020-04-28

Applicant: salesforce.com, Inc.

Inventor： Son Thanh Chang ,  Weiping Peng ,  Na Cheng ,  Feifei Jiang ,  Jacob Nathaniel Huffman ,  Nandini Suresh Kumar ,  Khoa Le ,  Christopher Larry

IPC: G06F16/31 ,  H04L12/58 ,  G06F16/34 ,  G06F16/35

Abstract: Computing systems, database systems, and related methods are provided for recommending values for fields of database objects and dynamically updating a recommended value for a field of a database record in response to updated auxiliary data associated with the database record. One method involves obtaining associated conversational data, segmenting the conversational data, converting each respective segment of conversational data into a numerical representation, generating a combined numerical representation of the conversational data based on the sequence of numerical representations using an aggregation model, generating the recommended value based on the combined numerical representation of the conversational data using a prediction model associated with the field, and autopopulating the field of the case database object with the recommended value.

公开(公告)号：US10409667B2

公开(公告)日：2019-09-10

申请号：US15624000

申请日：2017-06-15

Applicant: salesforce.com, inc.

Inventor： J. Justin Donaldson ,  Hormoz Tarevern ,  Sadiya Hameed ,  Siddharth Srivastava ,  Feifei Jiang

IPC: G06F11/00 ,  G06F11/07 ,  G06N3/08 ,  G06N3/04

Abstract: An online system identifies an assignment for a computer program error indicated in an error message by applying an assignment model to token sequences identified in the error message. The error message includes a sequence of execution paths of the computer program. Each execution path indicates a function call active in computer memory when the error was generated. In other words, the error message allows tracking of the sequence of nested paths up to the point where the error was generated. In one example, the error message is a stack trace message that reports active stack frames in computer memory during the execution of the program.

公开(公告)号：US11314790B2

公开(公告)日：2022-04-26

申请号：US15929364

申请日：2020-04-28

Applicant: salesforce.com, Inc.

Inventor： Son Thanh Chang ,  Weiping Peng ,  Na Cheng ,  Feifei Jiang ,  Jacob Nathaniel Huffman ,  Nandini Suresh Kumar ,  Khoa Le ,  Christopher Larry

IPC: G06F16/00 ,  G06N20/00 ,  G06F16/31 ,  G06F16/35 ,  G06F16/34 ,  H04L51/56 ,  G06F16/2457 ,  G06F16/2455 ,  G06F16/9535

Abstract: Computing systems, database systems, and related methods are provided for recommending values for fields of database objects and dynamically updating a recommended value for a field of a database record in response to updated auxiliary data associated with the database record. One method involves obtaining associated conversational data, segmenting the conversational data, converting each respective segment of conversational data into a numerical representation, generating a combined numerical representation of the conversational data based on the sequence of numerical representations using an aggregation model, generating the recommended value based on the combined numerical representation of the conversational data using a prediction model associated with the field, and autopopulating the field of the case database object with the recommended value.