公开(公告)号：US20240273556A1

公开(公告)日：2024-08-15

申请号：US18168842

申请日：2023-02-14

Applicant: Oracle International Corporation

Inventor： Vivek Kumar ,  Kartik Raghavan

IPC: G06Q30/0201 ,  G06N20/00

CPC classification number: G06Q30/0201 ,  G06N20/00

Abstract: Techniques for enterprise data aggregation and collective insights generation are disclosed, including: receiving multiple sets of enterprise-specific customer relationship management (CRM) data, respectively, from enterprise-specific CRMs; aggregating the sets of enterprise-specific CRM data, to obtain collective CRM data; receiving a request to generate a collective insight that is applicable to a particular subset of the collective CRM data; responsive to the request, selecting a particular machine learning model from multiple machine learning models, wherein each machine learning model is configured to generate collective insights for a respective subset of the collective CRM data; generating the collective insight that is applicable to the particular subset of the collective CRM data, using the particular machine learning model.

公开(公告)号：US20230368262A1

公开(公告)日：2023-11-16

申请号：US17743091

申请日：2022-05-12

Applicant: Oracle International Corporation

Inventor： Vivek Kumar

IPC: G06Q30/06 ,  G06Q30/02

CPC classification number: G06Q30/0629 ,  G06Q30/0201

Abstract: Techniques for managing customer experience content are disclosed. A system detects new information, such as a news story, a new service request, or a modification to a testimonial or case study, associated with a set of customer experience content, such as a customer testimonial. The system analyzes the new information to identify a sentiment associated with the new information. The system generates an effectiveness score for a particular set of customer experience content based on the new information. The system provides attribute data associated with the new information, and attribute data associated with the customer experience content, to a machine learning model to generate the effectiveness score. The system compares the effectiveness score to one or more threshold values to determine an action to perform associated with the customer experience content.

公开(公告)号：US20230252980A1

公开(公告)日：2023-08-10

申请号：US17668968

申请日：2022-02-10

Applicant: Oracle International Corporation

Inventor： Vivek Kumar

IPC: G10L15/18 ,  G10L15/16

CPC classification number: G10L15/1815 ,  G10L15/16 ,  G10L15/1822

Abstract: Techniques for extracting data from conversations across different types of communication channels are disclosed. A system applies a set of rules to extract data from conversations based, at least in part, on a type of communication channel used for conducting the conversation. The system applies a machine learning model to recognize semantic content in conversations. The system divides conversations into conversation segments and classifies the conversation segments based on the semantic content. The system selects conversation segments to be extracted based on the semantic content and the type of communication channel over which a conversation is conducted. The system maps conversation segments from different conversations conducted on different types of communication channels to a same set of transactions.

公开(公告)号：US11550836B1

公开(公告)日：2023-01-10

申请号：US17396254

申请日：2021-08-06

Applicant: Oracle International Corporation

Inventor： Vivek Kumar

IPC: G06F7/00 ,  G06F16/35 ,  G06N20/00 ,  G06K9/62 ,  G06F16/951 ,  G06F16/31 ,  G06F16/955 ,  G06F40/30

Abstract: A centralized system may collect and aggregate assessments from multiple websites. An aggregate score may be calculated for the resource that cumulatively considers assessments from a plurality of different websites from which assessments are received from users. Text descriptions associated with each of the assessments may be provided to a machine-learning system that uses a trained model to assign identifiers to the assessments as they are received. These identifiers may include common words or text that are descriptive of different facets of user experiences related to receiving and using the resource. After selecting one or more identifiers, assessments associated with that identifier may be included or excluded from the display. Additionally, the overall aggregate score for the resource may be recalculated by removing components of that score that are based on assessments with identifiers that have been selected for exclusion.