-
公开(公告)号：US20180292959A1
公开(公告)日：2018-10-11
申请号：US16003468
申请日：2018-06-08
IPC分类号： G06F3/0484 , G06Q10/06 , G06F17/22
摘要： Systems and methods are provided for analyzing entity performance. In accordance with one implementation, a method is provided that includes receiving data associated with a geographic region and transforming the received data into an object model. The method also includes analyzing the object model to associate the received data with a plurality of entities and to associate the received data with a plurality of sub-geographic regions of the geographic region. The method also includes applying a prediction model to the plurality of sub-geographic regions using the object model to determine a predicted performance for at least one entity of the plurality of entities. Further, the method includes determining actual performance for the at least one entity and providing a user interface that includes information associated with the predicted performance, the actual performance, or a combination of the predicted performance and the actual performance.
-
公开(公告)号：US10025834B2
公开(公告)日：2018-07-17
申请号：US14306147
申请日：2014-06-16
发明人： Feridun Arda Kara , Eli Bingham , John Garrod , Daniel Erenrich , Anirvan Mukherjee , Ted Mabrey , Andrew Ash , Zachary Bush , Allen Cai , Winnie Chai , Greg Cohan , Chris Dorsey , William Dwyer , Gilad Gray , Sean Kelley , Dennis Kwon , Chris Lewis , Greg Martin , Parvathy Menon , Brian Ngo , Asli Ozyar , Mike Reilly , Jacob Scott , Ankit Shankar , Matt Sills , Spencer Stamats , Geoff Stowe , Samir Talwar , Engin Ural , Patricio Jones Velez , Holt Wilkins , Diane Wu , Drausin Wulsin , Di Wu , Yu-Hsin Joyce Chen , Baris Kaya
CPC分类号： G06F16/248 , G06F16/26 , G06F16/285 , G06Q10/0639
摘要： Systems and methods are provided for analyzing entity performance. In one implementation, a method is provided that includes recognizing an identifier associated with an entity and accessing a data structure comprising information associated with a plurality of interactions. The method also comprises identifying one or more interactions of the plurality of interactions based on the recognized identifier. The method further comprises processing the information of the identified interactions to analyze a performance of the entity and providing the processed information to display the performance of the entity on a user interface.
-
公开(公告)号：US20240354322A1
公开(公告)日：2024-10-24
申请号：US18632900
申请日：2024-04-11
发明人： Anirvan Mukherjee , Craig De Souza , Edgar Gomes de Araujo , Johannes Beil , Jessica Winssinger , Michael Zullo , Rushad Heerjee , Shubhankar Sachdev
IPC分类号： G06F16/33 , G06F18/2415
CPC分类号： G06F16/3344 , G06F18/2415
摘要： Computer-implemented systems and methods are disclosed, including systems and methods utilizing language models for generating data objects and/or updating an ontology. A computer-implemented method may include: employing one or more large language models (“LLMs”) to generate at least a data triple and a classified triple; executing, using the classified triple, a similarity search with reference to an ontology to determine that the classified triple at least partially matches one or more data object types defined in the ontology; in response to the determination, adding into a first database at least a first data object of a first data object type that represents a first entity in the data triple and a second data object of a second data object type that represents a second entity in the data triple.
-
公开(公告)号：US11526471B2
公开(公告)日：2022-12-13
申请号：US17093381
申请日：2020-11-09
发明人： David Lisuk , Daniel Erenrich , Guodong Xu , Luis Voloch , Rahul Agarwal , Simon Slowik , Aleksandr Zamoshchin , Andre Frederico Cavalheiro Menck , Anirvan Mukherjee , Daniel Chin
IPC分类号： G06F16/00 , G06F16/18 , G06N7/00 , G06F16/13 , G06F16/188 , G06F30/00 , G06F111/20
摘要： A model management system provides a centralized repository for storing and accessing models. The model management system receives an input to store a model object in a first model state generated based on a first set of known variables. The model management system generates a first file including a first set of functions defining the first model state and associates the first file with a model key identifying the model object. The model management system receives an input to store the model object in a second model state having been generated based on the first model state and a second set of known variables. The model management system generates a second file including a second set of functions defining the second model state and associates the second file with the model key. The model management system identifies available versions of the model object based on the model key.
-
公开(公告)号：US08938686B1
公开(公告)日：2015-01-20
申请号：US14045720
申请日：2013-10-03
IPC分类号： G06F3/048 , G06F3/0484
CPC分类号： G06F3/0484 , G06F17/2247 , G06Q10/0639 , G06Q10/06395
摘要： Systems and methods are provided for analyzing entity performance. In accordance with one implementation, a method is provided that includes receiving data associated with a geographic region and transforming the received data into an object model. The method also includes analyzing the object model to associate the received data with a plurality of entities and to associate the received data with a plurality of sub-geographic regions of the geographic region. The method also includes applying a prediction model to the plurality of sub-geographic regions using the object model to determine a predicted performance for at least one entity of the plurality of entities. Further, the method includes determining actual performance for the at least one entity and providing a user interface that includes information associated with the predicted performance, the actual performance, or a combination of the predicted performance and the actual performance.
摘要翻译： 提供系统和方法用于分析实体性能。 根据一个实现，提供了一种方法，其包括接收与地理区域相关联的数据并将接收的数据变换成对象模型。 该方法还包括分析对象模型以将接收到的数据与多个实体相关联，并将接收到的数据与地理区域的多个子地理区域相关联。 该方法还包括使用对象模型将预测模型应用于多个子地理区域，以确定多个实体中的至少一个实体的预测性能。 此外，该方法包括确定至少一个实体的实际性能并提供包括与预测性能，实际性能或预测性能与实际性能的组合相关联的信息的用户界面。
-
公开(公告)号：US20230034067A1
公开(公告)日：2023-02-02
申请号：US17961822
申请日：2022-10-07
发明人： Daniel Erenrich , Anirvan Mukherjee
IPC分类号： G06N5/04 , G06N7/00 , G06Q30/00 , G06F16/2455 , G06Q30/02
摘要： Systems and methods are disclosed for determining a propensity of an entity to take a specified action. In accordance with one implementation, a method is provided for determining the propensity. The method includes, for example, accessing one or more data sources, the one or more data sources including information associated with the entity, forming a record associated with the entity by integrating the information from the one or more data sources, generating, based on the record, one or more features associated with the entity, processing the one or more features to determine the propensity of the entity to take the specified action, and outputting the propensity.
-
公开(公告)号：US09996229B2
公开(公告)日：2018-06-12
申请号：US14571060
申请日：2014-12-15
IPC分类号： G06F3/048 , G06F3/0484 , G06F17/22 , G06Q10/06
CPC分类号： G06F3/0484 , G06F17/2247 , G06Q10/0639 , G06Q10/06395
摘要： Systems and methods are provided for analyzing entity performance. In accordance with one implementation, a method is provided that includes receiving data associated with a geographic region and transforming the received data into an object model. The method also includes analyzing the object model to associate the received data with a plurality of entities and to associate the received data with a plurality of sub-geographic regions of the geographic region. The method also includes applying a prediction model to the plurality of sub-geographic regions using the object model to determine a predicted performance for at least one entity of the plurality of entities. Further, the method includes determining actual performance for the at least one entity and providing a user interface that includes information associated with the predicted performance, the actual performance, or a combination of the predicted performance and the actual performance.
-
公开(公告)号：US09734217B2
公开(公告)日：2017-08-15
申请号：US14306138
申请日：2014-06-16
发明人： Feridun Arda Kara , Eli Bingham , John Garrod , Daniel Erenrich , Anirvan Mukherjee , Ted Mabrey , Andrew Ash , Zachary Bush , Allen Cai , Winnie Chai , Greg Cohan , Chris Dorsey , William Dwyer , Gilad Gray , Sean Kelley , Dennis Kwon , Chris Lewis , Greg Martin , Parvathy Menon , Brian Ngo , Asli Ozyar , Mike Reilly , Jacob Scott , Ankit Shankar , Matt Sills , Spencer Stamats , Geoff Stowe , Samir Talwar , Engin Ural , P J Valez , Holt Wilkins , Diane Wu , Drausin Wulsin , Di Wu , Joyce Yu-Hsin Chen , Bar Kaya
CPC分类号： G06F17/30554 , G06F17/30572 , G06F17/30598 , G06Q10/0639
摘要： Systems and methods are provided for analyzing entity performance. In one implementation, a method is provided that includes receiving a request with one or more filter selections and accessing a data structure comprising a plurality of categories of information showing interactions associated with multiple entities. The method also comprises identifying a set of categories of the plurality of categories within the data structure based on the one or more filter selections. The method further comprises processing the information of the identified categories to analyze a performance of one or more entities of the multiple entities in accordance with the one or more filter selections and providing the processed information to display the performance of the one or more entities on a user interface.
-
公开(公告)号：US20240354646A1
公开(公告)日：2024-10-24
申请号：US18639394
申请日：2024-04-18
发明人： Alexander Edwards , Anirvan Mukherjee , David Kebudi , Megha Arora , Sriram Krishnan , Max-Philipp Schrader , Jessica Winssinger , Philipp Hoefer
IPC分类号： G06N20/00
CPC分类号： G06N20/00
摘要： Disclosed herein is a method of providing feedback to a machine learning model. The method includes allowing a user to observe an output of a trained machine learning model; allowing the user to input feedback to the machine learning model based on the output, wherein the feedback is on at least one of a model level or on a training dataset level; and incorporating the feedback into the machine learning model to improve the machine learning model, wherein the method is performed using one or more processors. Disclosed herein are one or more computer-readable storage media including computer executable instructions which when executed by the one or more processors cause the one or more processors to perform the method. Disclosed herein is a computer system which includes one or more processors and one or more computer-readable storage media which include computer executable instructions which when executed by the one or more processors cause the one or more processors to perform the method.
-
公开(公告)号：US11861515B2
公开(公告)日：2024-01-02
申请号：US17961822
申请日：2022-10-07
发明人： Daniel Erenrich , Anirvan Mukherjee
IPC分类号： G06N5/048 , G06Q30/01 , G06F16/2455 , G06Q30/0202 , G06N7/00 , G06Q30/0201 , G06N7/01
CPC分类号： G06N5/048 , G06F16/2455 , G06N7/01 , G06Q30/01 , G06Q30/0202 , G06Q30/0201
摘要： Systems and methods are disclosed for determining a propensity of an entity to take a specified action. In accordance with one implementation, a method is provided for determining the propensity. The method includes, for example, accessing one or more data sources, the one or more data sources including information associated with the entity, forming a record associated with the entity by integrating the information from the one or more data sources, generating, based on the record, one or more features associated with the entity, processing the one or more features to determine the propensity of the entity to take the specified action, and outputting the propensity.
-
-
-
-
-
-
-
-
-
搜索结果
22 条记录 (耗时 0.023 秒)
