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1.
公开(公告)号:US11538237B2
公开(公告)日:2022-12-27
申请号:US16248118
申请日:2019-01-15
摘要: A device trains a classification model with defect classifier training data to generate a trained classification model and processes information indicating priorities and rework efforts for defects, with a Pareto analysis model, to select a set of classes for the defects. The device calculates defect scores for the set of the classes and selects a particular class, from the set of the classes, based on the defect scores. The device processes a historical data set for the particular class to identify a root cause corrective action (RCCA) recommendation and processes information indicating a defect associated with the particular class, with the trained classification model, to generate a predicted RCCA recommendation for the defect. The device processes the predicted RCCA recommendation and the RCCA recommendation, with a linear regression model, to determine an effectiveness score for the predicted RCCA recommendation and retrains the classification model based on the effectiveness score.
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2.
公开(公告)号:US20230394115A1
公开(公告)日:2023-12-07
申请号:US17833455
申请日:2022-06-06
发明人: Vidya Rajagopal , Marin Grace , Amritendu Majumdar , Sunjeet Gupta , Matthew D. LeClaire , Jeff Ivany
IPC分类号: G06K9/62
CPC分类号: G06K9/6223 , G06K9/623 , G06K9/6215
摘要: This disclosure is directed generally to an automatic intelligent electronic data processing system, platform, and method for computerized multi-facet data pattern recognition and ranking, and particularly to intelligently personalizing recommendation of data items for consumption by a particular entity based on past data consumption history of the entity and/or other entities via machine recognition of intra and/or inter-entity data item selection correlations. Such personalized recommendation may be based on a multi-facet ranking of the data items by integrating various intra-entity and inter-entity correlations and patterns in data item consumption into a quantifiable entity-specific ranking score for each data item that may potentially be selected for consumption by a particular entity.
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公开(公告)号:US20200227026A1
公开(公告)日:2020-07-16
申请号:US16715819
申请日:2019-12-16
摘要: A system and method for using, training, building, and managing a question and answer engine to automatically generate responses to an end-user is disclosed. Specifically, the method and system make use of a topic builder that uses cluster predictions to generate and identify a list of topics and subtopics. A question and answer database may then be sorted by topic and subtopic using a similarity scorer. New user utterances may be analyzed to identify questions, with a cluster predictor identifying the corresponding topic and subtopics for each question, and a similarity scorer may identify the closest known question for the user's question to a recommender as an answer. Analytics of new user utterances are tracked to update the historical utterance database and question and answer database, thus allowing continuous improvement of the engine.
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公开(公告)号:US11380305B2
公开(公告)日:2022-07-05
申请号:US16715819
申请日:2019-12-16
IPC分类号: G10L15/06 , G06N5/04 , G10L15/08 , G06F16/28 , G06F16/35 , G06F16/332 , G06F16/242
摘要: A system and method for using, training, building, and managing a question and answer engine to automatically generate responses to an end-user is disclosed. Specifically, the method and system make use of a topic builder that uses cluster predictions to generate and identify a list of topics and subtopics. A question and answer database may then be sorted by topic and subtopic using a similarity scorer. New user utterances may be analyzed to identify questions, with a cluster predictor identifying the corresponding topic and subtopics for each question, and a similarity scorer may identify the closest known question for the user's question to a recommender as an answer. Analytics of new user utterances are tracked to update the historical utterance database and question and answer database, thus allowing continuous improvement of the engine.
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公开(公告)号:US11270081B2
公开(公告)日:2022-03-08
申请号:US16864790
申请日:2020-05-01
IPC分类号: G06F40/35 , G10L25/30 , G06K9/62 , G10L21/18 , G06F40/247
摘要: The present disclosure relates to a system, a method, and a product for an artificial intelligence based virtual agent trainer. The system includes a processor in communication with a memory storing instructions. When the processor executes the instructions, the instructions are configured to cause the processor to obtain input data and generate a preliminary set of utterances based on the input data, process the preliminary set of utterances to generate a set of utterance training data, generate a set of conversations based on the set of utterance training data, simulate the set of conversations on a virtual agent to obtain a conversation result, verify an intent and a response based on the conversation result, verify a use case flow and flow hops based on the conversation result, and generate recommendation information and maturity report based on verification results.
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公开(公告)号:US10691897B1
公开(公告)日:2020-06-23
申请号:US16555539
申请日:2019-08-29
IPC分类号: G06F40/35 , G10L25/30 , G10L21/18 , G06K9/62 , G06F40/247
摘要: The present disclosure relates to a system, a method, and a product for an artificial intelligence based virtual agent trainer. The system includes a processor in communication with a memory storing instructions. When the processor executes the instructions, the instructions are configured to cause the processor to obtain input data and generate a preliminary set of utterances based on the input data, process the preliminary set of utterances to generate a set of utterance training data, generate a set of conversations based on the set of utterance training data, simulate the set of conversations on a virtual agent to obtain a conversation result, verify an intent and a response based on the conversation result, verify a use case flow and flow hops based on the conversation result, and generate recommendation information and maturity report based on verification results.
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