公开(公告)号：US11544465B2

公开(公告)日：2023-01-03

申请号：US17211162

申请日：2021-03-24

Applicant: salesforce.com, inc.

Inventor： Michael Machado ,  John Ball ,  Thomas Archie Cook, Jr. ,  Shashank Harinath ,  Roojuta Lalani ,  Zineb Laraki ,  Qingqing Liu ,  Mike Rosenbaum ,  Karl Ryszard Skucha ,  Jean-Marc Soumet ,  Manju Vijayakumar

IPC: G06F40/295 ,  G06F16/332 ,  G06F40/30 ,  G10L15/18 ,  G10L15/22 ,  G10L15/30

Abstract: Approaches to using unstructured input to update heterogeneous data stores include receiving unstructured text input, receiving a template for interpreting the unstructured text input, identifying, using an entity classifier, entities in the unstructured text input, identifying one or more potential parent entities from the identified entities based on the template, receiving a selection of a parent entity from the one or more potential parent entities, identifying one or more potential child entities from the identified entities based on the template and the selected parent entity, receiving a selection of a child entity from the one or more potential child entities, identifying an action item in the unstructured text input based on the identified entities and the template, determining, using an intent classifier, an intent of the action item, and updating a data store based on the determined intent, the identified entities, and the selected child entity.

公开(公告)号：US20230244686A1

公开(公告)日：2023-08-03

申请号：US17589778

申请日：2022-01-31

Applicant: salesforce.com, inc.

Inventor： Zineb Laraki ,  Penny Tselikis ,  Till Christian Bergmann ,  Michael Weil ,  Christian Posse ,  Jason Teller ,  Alex Edelstein ,  Sarah Joann Aerni ,  Mehmet Ezbiderli

IPC: G06F16/25 ,  G06F16/23 ,  G06F16/2457 ,  G06N20/00

CPC classification number: G06F16/254 ,  G06F16/23 ,  G06F16/2457 ,  G06N20/00

Abstract: Methods, systems, apparatuses, devices, and computer program products are described. A system may identify, from an event log including log entries for a tenant of a multi-tenant database system, a pattern of log entries corresponding to main actions and satisfying a frequency threshold. The system may identify log entries associated with the pattern and corresponding to the main actions, detailed actions, or both. The system may retrieve data corresponding to a history field of a data object associated with the pattern and may determine at least a portion of a process flow for the data object according to the pattern and based on the log entries and the historical data. The process flow may include operations to perform using the data object. In some cases, the system may transmit, to a user device, an indication of the portion of the process flow for user review and implementation.

公开(公告)号：US20230086302A1

公开(公告)日：2023-03-23

申请号：US17479748

申请日：2021-09-20

Applicant: salesforce.com, inc.

Inventor： Shilpa Bhagavath ,  Shubham Mehrotra ,  Abhishek Sharma ,  Shashank Harinath ,  Na Cheng ,  Zineb Laraki

IPC: G06F40/263 ,  G06F40/58 ,  G06K9/62

Abstract: A method that includes receiving an input at an interactive conversation service that uses an intent classification model. The method may further include generating, using an encoder model of the intent classification model, a set of output vectors corresponding to the input, where the encoder model is configured to determine a set of metrics corresponding to intent classifications. The method may further include determining, using an outlier detection model of the intent classification model, whether the input is in-domain or out-of-domain (OOD) based on a first vector of the set of output vectors satisfying a domain threshold relative to one or more of the intent classifications. The method may further include outputting, by the intent classification model, a second vector of the set of output vectors that indicates the set of metrics corresponding to the intent classifications or an indication that the input is OOD.

公开(公告)号：US20230245010A1

公开(公告)日：2023-08-03

申请号：US17589763

申请日：2022-01-31

Applicant: salesforce.com, inc.

Inventor： Sarah Joann Aerni ,  Zineb Laraki ,  Penny Tselikis ,  Till Christian Bergmann ,  Michael Weil ,  Christian Posse ,  Jason Teller ,  Alex Edelstein ,  Mehmet Ezbiderli

IPC: G06Q10/06

CPC classification number: G06Q10/063112

Abstract: Methods, systems, apparatuses, devices, and computer program products are described. An intelligent routing system may route a data object to a path in a process flow using a model, such as a machine-learned model. The system may receive a first data object and may route the first data object along a path of the process flow using a random routing procedure, for example, for model training. The routing may involve performing operations based on the path and the features of the first data object. The system may update one or more models based on an outcome of the operations. Following training, the system may insert a model into the process flow at a decision point between paths. The system may receive a second data object and may route the second data object to a path using the model and based on features of the second data object.

公开(公告)号：US10970486B2

公开(公告)日：2021-04-06

申请号：US16134956

申请日：2018-09-18

Applicant: salesforce.com, inc.

Inventor： Michael Machado ,  John Ball ,  Thomas Archie Cook, Jr. ,  Shashank Harinath ,  Roojuta Lalani ,  Zineb Laraki ,  Qingqing Liu ,  Mike Rosenbaum ,  Karl Ryszard Skucha ,  Jean-Marc Soumet ,  Manju Vijayakumar

IPC: G06F40/295 ,  G06F16/332 ,  G06F40/30 ,  G10L15/18 ,  G10L15/22 ,  G10L15/30

Abstract: Approaches to using unstructured input to update heterogeneous data stores include receiving unstructured text input, receiving a template for interpreting the unstructured text input, identifying, using an entity classifier, entities in the unstructured text input, identifying one or more potential parent entities from the identified entities based on the template, receiving a selection of a parent entity from the one or more potential parent entities, identifying one or more potential child entities from the identified entities based on the template and the selected parent entity, receiving a selection of a child entity from the one or more potential child entities, identifying an action item in the unstructured text input based on the identified entities and the template, determining, using an intent classifier, an intent of the action item, and updating a data store based on the determined intent, the identified entities, and the selected child entity.