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公开(公告)号：US11972327B2
公开(公告)日：2024-04-30
申请号：US15967327
申请日：2018-04-30
Applicant: Samsung Electronics Co., Ltd.
Inventor： Vijay Srinivasan , Christian Koehler , Hongxia Jin
Abstract: A method for action automation includes determining, using an electronic device, an action based on domain information. Activity patterns associated with the action are retrieved. For each activity pattern, a candidate action rule is determined. Each candidate action rule specifies one or more pre-conditions when the action occurs. One or more preferred candidate action rules are determined from multiple candidate action rules for automation of the action.
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公开(公告)号：US11631236B2
公开(公告)日：2023-04-18
申请号：US15920124
申请日：2018-03-13
Applicant: Samsung Electronics Co., Ltd.
Inventor： Mohammad Moazzami , Vijay Srinivasan , Anil Yadav
IPC: G06V10/82 , G06V10/40 , G06F17/18 , G06K9/62 , G06N3/04 , G06N7/00 , G06N3/08 , G06V20/00 , G06V20/10
Abstract: An apparatus for contextual execution comprises a processor, and a memory containing instructions, which when executed by the processor, cause the apparatus to receive, from a user terminal, a control input associated with an intent, obtain location data associated with a location of the user terminal, and determine a scored set of execution options associated with the control input. Further, the instructions, when executed by the processor cause the apparatus to obtain a contextual label associated with the location data, the label determined based on the application of one or more adapted pretrained deep learning models to the location data.
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公开(公告)号：US20230061906A1
公开(公告)日：2023-03-02
申请号：US17817778
申请日：2022-08-05
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Manas Gaur , Dalkandura Arachchige Kalpa Shashika Silva Gunaratna , Vijay Srinivasan , Hongxia Jin
IPC: G06F40/30 , G06F16/332 , G06F16/242 , G06F40/211
Abstract: Computer-based generation of information-gathering questions in response to a user query can include parsing the user query using natural language processing and extracting from the user query one or more phrases corresponding to a predetermined category. A knowledge database can be accessed, and entities semantically related to each phrase can be extracted therefrom. A query sub-graph representing a relationship between each of the one or more phrases and the entities extracted from the knowledge database can be generated. An expanded user query can be generated by traversing the query sub-graph. Passages semantically related to the expanded user query can be retrieved from one or more passages databases and ranked. A neural question generator can generate a set of information-gathering questions based on the expanded user query and a group of select passages selected from the plurality of passages in accordance with each selected passage's ranking.
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公开(公告)号：US10885905B2
公开(公告)日：2021-01-05
申请号：US16235983
申请日：2018-12-28
Applicant: Samsung Electronics Co., Ltd.
Inventor： Vijay Srinivasan , Hongxia Jin
IPC: G10L15/183 , G10L15/197 , G10L15/18 , G10L15/22 , G10L15/16 , G06N20/00
Abstract: A method includes that for each model from multiple models, evaluating a model prediction accuracy based on a dataset of a user over a first time duration. The dataset includes a sequence of actions with corresponding contexts based on electronic device interactions. Each model is trained to predict a next action at a time point within the first time duration, based on a first behavior sequence over a first time period from the dataset before the time point, a second behavior sequence over a second time period from the dataset before the time point, and context at the time point. A model is selected from the multiple models based on its model prediction accuracy for the user based on a domain. An action to be initiated at a later time using an electronic device of the user is recommended using the selected model during a second time duration.
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公开(公告)号：US20180268244A1
公开(公告)日：2018-09-20
申请号：US15920124
申请日：2018-03-13
Applicant: Samsung Electronics Co., Ltd.
Inventor： Mohammad Moazzami , Vijay Srinivasan , Anil Yadav
CPC classification number: G06K9/46 , G06F17/18 , G06K9/00624 , G06K9/00637 , G06K9/6256 , G06K9/6267 , G06N3/0454 , G06N3/0481 , G06N3/08 , G06N7/005
Abstract: An apparatus for contextual execution comprises a processor, and a memory containing instructions, which when executed by the processor, cause the apparatus to receive, from a user terminal, a control input associated with an intent, obtain location data associated with a location of the user terminal, and determine a scored set of execution options associated with the control input. Further, the instructions, when executed by the processor cause the apparatus to obtain a contextual label associated with the location data, the label determined based on the application of one or more adapted pretrained deep learning models to the location data.
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Patent Agency Ranking
公开(公告)号：US20170186077A1
公开(公告)日：2017-06-29
申请号：US14981508
申请日：2015-12-28
Applicant: Samsung Electronics Co., Ltd.
Inventor： Vijay Srinivasan , Shalinder S. Sidhu , Koichi Mori
CPC classification number: G06Q30/0639 , G06Q50/01
Abstract: A method comprising receiving different types of crowd-sourced information, the different types of crowd-sourced information relating to a physical store that a plurality of electronic devices have visited. The method further comprises determining a plurality of products available in the physical store based on the different types of crowd-sourced information, and correlating the different types of crowd-sourced information to determine at least one product location of at least one product of the plurality of products available. Each product location of each product identifies a location of the product within the physical store.
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公开(公告)号：US20150373132A1
公开(公告)日：2015-12-24
申请号：US14741362
申请日：2015-06-16
Applicant: Samsung Electronics Co., Ltd.
Inventor： Abhishek Mukherji , Vijay Srinivasan , Satheesh Sudarsan , Shalinder Singh Sidhu
Abstract: Providing sequential behavior-based content may include detecting, using a processor, an event sequence involving at least one device of a user, wherein the event sequence includes a current event and a prior event, correlating, using the processor, the event sequence with a frequent sequential pattern selected from a plurality of frequent sequential patterns associated with the user, and predicting, using the processor, a next event for the user according to a plurality of ordered events specified by the selected frequent sequential pattern. Responsive to predicting the next event, content relating to the next event may be provided to the device using the processor.
Abstract translation: 提供基于顺序行为的内容可以包括使用处理器检测涉及用户的至少一个设备的事件序列，其中所述事件序列包括当前事件和先前事件，使用所述处理器将所述事件序列与 从与用户相关联的多个频繁顺序模式中选择的频繁序列模式，以及根据由所选频繁序列模式指定的多个有序事件，使用处理器预测用户的下一个事件。 响应于预测下一个事件，可以使用处理器将与下一个事件相关的内容提供给设备。
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8.发明公开公开(公告)号：US20240256906A1
公开(公告)日：2024-08-01
申请号：US18401074
申请日：2023-12-29
Applicant: Samsung Electronics Co., Ltd.
Inventor： Vikas Yadav , Hyuk Joon Kwon , Vijay Srinivasan , Hongxia Jin
IPC: G06N5/02 , G06F40/295
CPC classification number: G06N5/02 , G06F40/295
Abstract: A method includes predicting, using the at least one processing device, a question type for each section of a document using a trained question type prediction model, each section including a different portion of the document. The method also includes generating, using the at least one processing device, multiple question-answer pairs using a trained question-answer generation model that receives the predicted question types and the document as input. Each question-answer pair includes (i) a question having a type corresponding to one of the predicted question types and being associated with content in the section corresponding to the type and (ii) an answer to the question. The method further includes outputting, using the at least one processing device, the question-answer pairs for use in training a question answering model.
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公开(公告)号：US10223737B2
公开(公告)日：2019-03-05
申请号：US14981508
申请日：2015-12-28
Applicant: Samsung Electronics Co., Ltd.
Inventor： Vijay Srinivasan , Shalinder S. Sidhu , Koichi Mori
Abstract: A method comprising receiving different types of crowd-sourced information, the different types of crowd-sourced information relating to a physical store that a plurality of electronic devices have visited. The method further comprises determining a plurality of products available in the physical store based on the different types of crowd-sourced information, and correlating the different types of crowd-sourced information to determine at least one product location of at least one product of the plurality of products available. Each product location of each product identifies a location of the product within the physical store.
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公开(公告)号：US09871876B2
公开(公告)日：2018-01-16
申请号：US14741362
申请日：2015-06-16
Applicant: Samsung Electronics Co., Ltd.
Inventor： Abhishek Mukherji , Vijay Srinivasan , Satheesh Sudarsan , Shalinder Singh Sidhu
Abstract: Providing sequential behavior-based content may include detecting, using a processor, an event sequence involving at least one device of a user, wherein the event sequence includes a current event and a prior event, correlating, using the processor, the event sequence with a frequent sequential pattern selected from a plurality of frequent sequential patterns associated with the user, and predicting, using the processor, a next event for the user according to a plurality of ordered events specified by the selected frequent sequential pattern. Responsive to predicting the next event, content relating to the next event may be provided to the device using the processor.
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