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公开(公告)号：US20240169147A1
公开(公告)日：2024-05-23
申请号：US18056463
申请日：2022-11-17
IPC分类号： G06F40/20 , G06F16/951
CPC分类号： G06F40/20 , G06F16/951
摘要： A computer-implemented method includes: obtaining a record including text narration; inputting the text narration into an NLP model; generating, by the NLP model, encoded narration based on the text narration; determining similarity index between the encoded narration and each of encoded reference topics; comparing the similarity index between the encoded narration and each encoded reference topic to similarity threshold; and determining whether the similarity index between the encoded narration and each encoded reference topic is equal to or greater than the similarity threshold. When the similarity index is equal to or greater than the similarity threshold, a corresponding reference topic is added to a result group, and, when the similarity index is less than the similarity threshold, the corresponding reference topic is left out of the result group. The record is classified based on the reference topic included in the result group and corresponding to the encoded reference topic having greatest similarity index.
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公开(公告)号：US20230177602A1
公开(公告)日：2023-06-08
申请号：US17659017
申请日：2022-04-13
发明人： Rahul Yadav , Veresh Jain , Shubham Negi , Rahul Kiran Gaddam , Phanindra Choda
CPC分类号： G06Q40/025 , G06K9/6218 , G06K9/6256 , G06N20/00
摘要： According to an aspect, a technology system maintains an account data specifying the details of multiple accounts including a specific set of accounts as being delinquent. Upon receiving a feature set to be used, the system clusters the multiple accounts into groups based on the feature set. The system generates a multi-classification model for assignment of agents to the accounts based on the group qualifiers associated with the groups and the feature set. The system then identifies a target group likely to present problems with debt collection, assigns, using the multi-classification model, a corresponding agent for each account of the group and determines a recommended recovery strategy for each assignment. The system provides the details of the group, the corresponding agents assigned and the recommended recovery strategy for each assignment.
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公开(公告)号：US12002091B2
公开(公告)日：2024-06-04
申请号：US17659017
申请日：2022-04-13
发明人： Rahul Yadav , Veresh Jain , Shubham Negi , Rahul Kiran Gaddam , Phanindra Choda
IPC分类号： G06Q40/00 , G06F18/214 , G06F18/23 , G06N20/00 , G06Q40/03
CPC分类号： G06Q40/03 , G06F18/214 , G06F18/23 , G06N20/00
摘要： According to an aspect, a technology system maintains an account data specifying the details of multiple accounts including a specific set of accounts as being delinquent. Upon receiving a feature set to be used, the system clusters the multiple accounts into groups based on the feature set. The system generates a multi-classification model for assignment of agents to the accounts based on the group qualifiers associated with the groups and the feature set. The system then identifies a target group likely to present problems with debt collection, assigns, using the multi-classification model, a corresponding agent for each account of the group and determines a recommended recovery strategy for each assignment. The system provides the details of the group, the corresponding agents assigned and the recommended recovery strategy for each assignment.
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公开(公告)号：US20240169216A1
公开(公告)日：2024-05-23
申请号：US18056456
申请日：2022-11-17
IPC分类号： G06N5/02
CPC分类号： G06N5/022
摘要： A method includes generating dataset using topics associated with historical records, the dataset including pairs of data that are formed based on the topics, each of the pairs of data including an antecedent topic associated with a historical record corresponding to a preceding event and a consequent topic associated with a historical record corresponding to an event that occurred after the preceding event, the antecedent topic and the consequent topic forming a transitive relation for each of the pairs of data; inputting, into ML model, the pairs of data and input topic associated with a record of a user; generating, by the ML model, a prediction of a next record topic for a next record corresponding to the user, based on the consequent topic included in each of the pairs of data that include the antecedent topic corresponding to the input topic; and outputting the prediction.
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公开(公告)号：US20230196420A1
公开(公告)日：2023-06-22
申请号：US17710745
申请日：2022-03-31
发明人： Rahul Yadav , Nidhi Rajput , Veresh Jain , Krishnapriya Jaya Radhakrishnan , Amit Omprakash Rathi , Saroj Jasmine Merwana , Aashima Sethi
摘要： A bill verification system for verifying bill records associated with an entity account is disclosed. The system receives a request to verify a bill record associated with an entity account. The system identifies a bill level model to be used for verifying the bill record and detects based on the bill level model, bill level anomaly information for the bill record. The system additionally identifies a bill line level model to be used for verifying one or more bill lines in the bill record and detects based on the bill line level model, bill line level anomaly information for the bill record. The system then aggregates the bill level anomaly information and the bill line level anomaly information to generate a bill verification report for the bill record. The system provides the bill verification report as a response to the request received to verify the bill record.
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