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公开(公告)号：US20220147843A1
公开(公告)日：2022-05-12
申请号：US17096316
申请日：2020-11-12
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Dalkandura Arachchige Kalpa Shashika Silva Gunaratna , Vijay Srinivasan , Sandeep Nama , Christian Koehler , Hongxia Jin
IPC: G06N5/02 , G06T7/11 , G06F40/284 , G06F40/211 , G06N7/00 , H04N19/176
Abstract: Computer-based content understanding can include segmenting an image into a plurality of blocks, wherein each block includes textual information from the image. For each block of the plurality of blocks, encoded feature data is generated by encoding visual information of the block and visual information of one or more neighboring blocks from the plurality of blocks and encoded textual data is generated by encoding the textual information of the block and the textual information of the one or more neighboring blocks. Further, using an entity class prediction model, one or more tokens of the block are classified into one or more entity classes based on a combination of the encoded textual data and the encoded feature data. A plurality of entities can be extracted from the image based on the entity classes of the plurality of blocks.
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Patent Agency Ranking
公开(公告)号：US20210279606A1
公开(公告)日：2021-09-09
申请号：US16813510
申请日：2020-03-09
Applicant: Samsung Electronics Co., Ltd.
Inventor： Vijay Srinivasan , Christian Koehler , Hongxia Jin
Abstract: Systems and methods are described for adding new attributes to entities of a knowledge base. A plurality of correlations may be identified between the new attribute and existing attributes of the entities using a rule-based model, such that attribute rules may be associated with each identified correlation exceeding a predetermined confidence threshold. An unstructured data model may then be applied to the knowledge base to identify unstructured data associated with each entity of the plurality of entities correlated to presence of the new attribute. Then a meta learner model may be applied to identify weights for each attribute rule and the identified unstructured data. After the weights have been set for the meta learner model, the meta learner model may then be applied to each entity in the knowledge base to accurately identify entities having the new attribute.
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3.发明授权公开(公告)号：US11995564B2
公开(公告)日：2024-05-28
申请号：US16246775
申请日：2019-01-14
Applicant: Samsung Electronics Co., Ltd.
Inventor： Justin C. Martineau , Christian Koehler , Hongxia Jin
IPC: G06N5/04 , G06F16/901 , G06N20/00
CPC classification number: G06N5/04 , G06F16/9024 , G06N20/00
Abstract: A recommendation method includes determining one or more aspects of a first item based on at least one descriptive text of the first item. The recommendation method also includes updating a knowledge graph containing nodes that represent multiple items, multiple users, and multiple aspects. Updating the knowledge graph includes linking one or more nodes representing the one or more aspects of the first item to a node representing the first item with one or more first edges. Each of the one or more first edges identifies weights associated with (i) user sentiment about the associated aspect of the first item and (ii) an importance of the associated aspect to the first item. In addition, the recommendation method includes recommending a second item for a user with an explanation based on at least one aspect linked to the second item in the knowledge graph.
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公开(公告)号：US20190065993A1
公开(公告)日：2019-02-28
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：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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6.发明申请公开(公告)号：US20190392330A1
公开(公告)日：2019-12-26
申请号：US16246775
申请日：2019-01-14
Applicant: Samsung Electronics Co., Ltd.
Inventor： Justin C. Martineau , Christian Koehler , Hongxia Jin
IPC: G06N5/04 , G06F16/901 , G06N20/00
Abstract: A recommendation method includes determining one or more aspects of a first item based on at least one descriptive text of the first item. The recommendation method also includes updating a knowledge graph containing nodes that represent multiple items, multiple users, and multiple aspects. Updating the knowledge graph includes linking one or more nodes representing the one or more aspects of the first item to a node representing the first item with one or more first edges. Each of the one or more first edges identifies weights associated with (i) user sentiment about the associated aspect of the first item and (ii) an importance of the associated aspect to the first item. In addition, the recommendation method includes recommending a second item for a user with an explanation based on at least one aspect linked to the second item in the knowledge graph.
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