-
公开(公告)号：US12101279B2
公开(公告)日：2024-09-24
申请号：US17459888
申请日：2021-08-27
发明人： Shubhashis Sengupta , Anutosh Maitra , Roshni Ramesh Ramnani , Sriparna Saha , Abhisek Tiwari , Pushpak Bhattacharyya
IPC分类号： H04L51/02 , G06F40/279 , G06F40/35 , G06N20/00
CPC分类号： H04L51/02 , G06F40/279 , G06F40/35 , G06N20/00
摘要： Systems and methods that offer significant improvements to current virtual agent (VA) conversational experiences are disclosed. The proposed systems and methods are configured to manage conversations in real-time with human customers while accommodating a dynamic goal. The VA includes a goal-driven module with a reinforcement learning-based dialogue manager. The VA is an interactive tool that utilizes both task-specific rewards and sentiment-based rewards to respond to a dynamic goal. The VA is capable of handling dynamic goals with a significantly high success rate. As the system is trained primarily with a user simulator, it can be readily extended for applications across other domains.
-
2.发明公开公开(公告)号：US20240192993A1
公开(公告)日：2024-06-13
申请号：US18079182
申请日：2022-12-12
IPC分类号： G06F9/50
CPC分类号： G06F9/5027
摘要： Methods, systems and apparatus, including computer programs encoded on computer storage medium, for allocating computation resources using ESG reporting. In one aspect a method includes obtaining data from a knowledge source for an entity, the knowledge source comprising a plurality of ESG disclosures that relate to one or more ESG dimensions; computing vulnerability indicator scores that represent measures of latent vulnerability with respect to the ESG dimensions; computing descriptive distribution scores that represent distributions of descriptions of the ESG dimensions within the knowledge source; determining, using the vulnerability indicator scores and the descriptive distribution scores, an allocation of computational resources to ESG computational processes associated with the ESG dimensions that achieves an increased gain in sustainability for the entity; and initiating allocation of the computational resources to the ESG computational processes according to the determined allocation.
-
公开(公告)号：US11709998B2
公开(公告)日：2023-07-25
申请号：US17001308
申请日：2020-08-24
IPC分类号： G06F40/35 , G06F40/295 , G06N5/02 , H04L51/02
CPC分类号： G06F40/35 , G06F40/295 , G06N5/02 , H04L51/02
摘要： Systems and methods that offer significant improvements to current chatbot conversational experiences are disclosed. The proposed systems and methods are configured to manage conversations in real-time with human customers based on a dynamic and unscripted conversation flow with a virtual assistant. In one embodiment, a knowledge graph or domain model represents the sole or primary source of information for the virtual assistant, thereby removing the reliance on any form of conversational modelling. Based on the information provided by the knowledge graph, the virtual agent chatbot will be equipped to answer customer queries, as well as demonstrate reasoning, offering customers a more natural and efficacious dialogue experience.
-
公开(公告)号：US20230072171A1
公开(公告)日：2023-03-09
申请号：US17837624
申请日：2022-06-10
发明人： Shubhashis Sengupta , Roshni Ramesh Ramnani , Sakshi Jain , Prerna Prem , Asif Ekbal , Zishan Ahmad
摘要： A system and method for training and refining a machine learning model is disclosed. The disclosed system and method can further improve the accuracy of trained machine learning models by calculating which threshold values for predictions (e.g., probabilities output by the machine learning model) provide the most accurate results. The system and method may include applying an optimization technique (e.g., multi-objective optimization) to calculate which threshold values result in the best combination of precision and recall. In other words, the system and method adjust threshold values for prediction scores to optimize the objects of precision and recall. A machine learning model trained with these adjusted threshold values can determine when an input belongs to an unknown class because the unknown input has prediction scores below the threshold values for every known class. Embodiments may include refining an intent classifier to better classify unknown intents.
-
公开(公告)号：US20220156582A1
公开(公告)日：2022-05-19
申请号：US17313555
申请日：2021-05-06
发明人： Shubhashis Sengupta , Anutosh Maitra , Roshni Ramesh Ramnani , Zishan Ahmad , Pushpak Bhattacharyya , Asif Ekbal
摘要： Techniques for building knowledge graphs from conversational data are disclosed. The systems include a high-performance relation classifier developed with active learning and requiring minimal supervision. The classifier is used to classify relation triples extracted from conversational text, which are then used to populate the knowledge graph. A heuristic for constructing the knowledge graph is also disclosed. The proposed embodiments provide a way to efficiently build and/or augment knowledge graphs and improve the quality of the generated responses by a dialogue agent despite a sparsity of data.
-
公开(公告)号：US20210397497A1
公开(公告)日：2021-12-23
申请号：US17000081
申请日：2020-08-21
发明人： Sanjay Tiwari , Shantha Maheswari , Surya Kumar Ivg , Mathangi Sandilya , Gaurav Khanduri , Shubhashis Sengupta , Marcio Miranda Theme , Badarayan Panigrahi , Tarang Kumar
摘要： Embodiments of the present disclosure provide systems, methods, and computer-readable storage media that leverage artificial intelligence and machine learning to identify, diagnose, and mitigate occurrences of network faults or incidents within a network. Historical network incidents may be used to generate a model that may be used to evaluate real-time occurring network incidents, such as to identify a cause of the network incident. Clustering algorithms may be used to identify portions of the model that share similarities with a network incident and then actions taken to resolve similar network incidents in the past may be identified and proposed as candidate actions that may be executed to resolve the cause of the network incident. Execution of the candidate actions may be performed under control of a user or automatically based on execution criteria and the configuration of the fault mitigation system.
-
公开(公告)号：US11204824B1
公开(公告)日：2021-12-21
申请号：US17000081
申请日：2020-08-21
发明人： Sanjay Tiwari , Shantha Maheswari , Surya Kumar Ivg , Mathangi Sandilya , Gaurav Khanduri , Shubhashis Sengupta , Marcio Miranda Theme , Badarayan Panigrahi , Tarang Kumar
摘要： Embodiments of the present disclosure provide systems, methods, and computer-readable storage media that leverage artificial intelligence and machine learning to identify, diagnose, and mitigate occurrences of network faults or incidents within a network. Historical network incidents may be used to generate a model that may be used to evaluate real-time occurring network incidents, such as to identify a cause of the network incident. Clustering algorithms may be used to identify portions of the model that share similarities with a network incident and then actions taken to resolve similar network incidents in the past may be identified and proposed as candidate actions that may be executed to resolve the cause of the network incident. Execution of the candidate actions may be performed under control of a user or automatically based on execution criteria and the configuration of the fault mitigation system.
-
公开(公告)号：US11087088B2
公开(公告)日：2021-08-10
申请号：US16141644
申请日：2018-09-25
摘要： A device receives a corpus of text documents, and utilizes feature extraction on a text document, of the corpus of text documents, to generate features from the text document, where the features include binary features, numeric features, and categorical features. The device performs feature engineering on one or more of the binary features, the numeric features, or the categorical features, to generate converted features, and performs feature encoding on the text document, based on the converted features, to represent the text document as a vector with a similarity score for a domain. The device provides the vector with the similarity score for the domain, as training data, to a machine learning model to generate a trained machine learning model, and performs an action using the trained machine learning model.
-
公开(公告)号：US11010829B2
公开(公告)日：2021-05-18
申请号：US16450783
申请日：2019-06-24
发明人： Anutosh Maitra , Shubhashis Sengupta , Abhisek Mukhopadhyay , Shilpi Jain , Sarabjit Singh Gugneja , Leonardo Orlando
IPC分类号： G06Q40/02
摘要： A device may determine a behavioral pattern of an account over a past time period based on data relating to one or more transactions associated with the account. The device may identify one or more quantitative features of the behavioral pattern and one or more spatial features of the behavioral pattern. The device may determine an account type cluster to which the account belongs, based on the one or more quantitative features and the one or more spatial features identified. The device may determine, based on the account type cluster that is determined, a model for processing the behavioral pattern. The device may predict, using the model that is determined, an amount of funds that is likely to remain in the account during a future time period. The device may perform one or more actions based on the amount of funds that is predicted.
-
公开(公告)号：US10762161B2
公开(公告)日：2020-09-01
申请号：US15824305
申请日：2017-11-28
发明人： Srikanth G. Rao , Roshni Ramesh Ramnani , Tarun Singhal , Shubhashis Sengupta , Tirupal Rao Ravilla , Dongay Choudary Nuvvula , Soumya Chandran , Sumitraj Ganapat Patil , Rakesh Thimmaiah , Sanjay Podder , Surya Kumar IVG , Ranjana Bhalchandra Narawane
IPC分类号： G06F16/30 , G06F16/957 , G06F16/31 , G06F16/78 , G06F16/435 , G06F16/34 , G06F40/30 , G06F3/0482
摘要： Methods and systems including computer programs encoded on a computer storage medium, for interactive content recommendation. In one aspect, a method includes receiving a request for content by a user, determining a user intent based on the received request, providing to the user a first attribute responsive to the user intent, receiving a first attribute value responsive to the first attribute, providing a second attribute, and receiving a second attribute value responsive to the second attribute. A particular content vector including a first content attribute and a second content attribute for a particular content item is identified where the first content attribute and the second content attribute sufficiently match the first attribute value and the second attribute value. The particular content item is provided as a suggested content item, and, responsive to a user selection of the particular content item, provided for presentation on the user device.
-
-
-
-
-
-
-
-
-
搜索结果
64 条记录 (耗时 0.033 秒)
