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公开(公告)号：US11501083B2
公开(公告)日：2022-11-15
申请号：US17133965
申请日：2020-12-24
Applicant: International Business Machines Corporation
Inventor： Ke Ke Cai , Jing Ding , Zhong Su , Chang Hua Sun , Li Zhang , Shi Wan Zhao
Abstract: Techniques are provided for training, by a system operatively coupled to a processor, an attention weighted recurrent neural network encoder-decoder (AWRNNED) using an iterative process based on one or more paragraphs of agent sentences from respective transcripts of one or more conversations between one or more agents and one or more customers, and based on one or more customer response sentences from the respective transcripts, and generating, by the system, one or more groups respectively comprising one or more agent sentences and one or more customer response sentences selected based on attention weights of the AWRNNED.
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公开(公告)号：US10902205B2
公开(公告)日：2021-01-26
申请号：US15793227
申请日：2017-10-25
Applicant: International Business Machines Corporation
Inventor： Ke Ke Cai , Jing Ding , Zhong Su , Chang Hua Sun , Li Zhang , Shi Wan Zhao
Abstract: Techniques are provided for training, by a system operatively coupled to a processor, an attention weighted recurrent neural network encoder-decoder (AWRNNED) using an iterative process based on one or more paragraphs of agent sentences from respective transcripts of one or more conversations between one or more agents and one or more customers, and based on one or more customer response sentences from the respective transcripts, and generating, by the system, one or more groups respectively comprising one or more agent sentences and one or more customer response sentences selected based on attention weights of the AWRNNED.
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公开(公告)号：US11030064B2
公开(公告)日：2021-06-08
申请号：US15617860
申请日：2017-06-08
Applicant: International Business Machines Corporation
Inventor： Jing Ding , Jing Li , Ji Jiang Song , Jian Wang
Abstract: The subject disclosure relates to employing grouping and selection components to facilitate a grouping of failure data associated with oil and gas exploration equipment into one or more equipment failure type groups. In an example, a method comprises grouping, by a system operatively coupled to a processor, training data of a set of equipment failure data into one or more failure type groups based on one or more determined failure criteria, wherein the one or more failure type groups represent equipment failure classifications associated with energy exploration processes; and selecting, by the system, first ungrouped data from the set of equipment failure data based on a level of similarity between the first ungrouped data and the training data.
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公开(公告)号：US20180357568A1
公开(公告)日：2018-12-13
申请号：US15842561
申请日：2017-12-14
Applicant: International Business Machines Corporation
Inventor： Jing Ding , Jing Li , Ji Jiang Song , Jian Wang
CPC classification number: G06N99/005 , G06F17/30312 , G06F17/30371 , G06N5/047
Abstract: The subject disclosure relates to employing grouping and selection components to facilitate a grouping of failure data associated with oil and gas exploration equipment into one or more equipment failure type groups. In an example, a method comprises grouping, by a system operatively coupled to a processor, training data of a set of equipment failure data into one or more failure type groups based on one or more determined failure criteria, wherein the one or more failure type groups represent equipment failure classifications associated with energy exploration processes; and selecting, by the system, first ungrouped data from the set of equipment failure data based on a level of similarity between the first ungrouped data and the training data.
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公开(公告)号：US20180316791A1
公开(公告)日：2018-11-01
申请号：US15955882
申请日：2018-04-18
Applicant: International Business Machines Corporation
Inventor： Keke Cai , Jing Ding , Li Zhang , Shiwan Zhao , Zhong Su
CPC classification number: G06N3/08 , G06F17/279 , G06Q10/06316 , G10L25/63 , H04M3/5183 , H04M2203/256 , H04M2203/355 , H04M2203/357 , H04M2203/551
Abstract: A topic guidance method, system, and computer program product for creating a conversation model by learning a conversation pattern from a customer response to a conversation topic segment and suggesting a conversation topic for the agent to engage the customer in the conversation topic based on a customer response associated with the conversation model.
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Patent Agency Ranking
公开(公告)号：US11061789B2
公开(公告)日：2021-07-13
申请号：US15842561
申请日：2017-12-14
Applicant: International Business Machines Corporation
Inventor： Jing Ding , Jing Li , Ji Jiang Song , Jian Wang
Abstract: The subject disclosure relates to employing grouping and selection components to facilitate a grouping of failure data associated with oil and gas exploration equipment into one or more equipment failure type groups. In an example, a method comprises grouping, by a system operatively coupled to a processor, training data of a set of equipment failure data into one or more failure type groups based on one or more determined failure criteria, wherein the one or more failure type groups represent equipment failure classifications associated with energy exploration processes; and selecting, by the system, first ungrouped data from the set of equipment failure data based on a level of similarity between the first ungrouped data and the training data.
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公开(公告)号：US10068259B2
公开(公告)日：2018-09-04
申请号：US15291354
申请日：2016-10-12
Applicant: International Business Machines Corporation
Abstract: Example embodiments of the present disclosure provide methods, a computer system and a computer program product for multimedia information display in an elevator. According to an embodiment of the method, moving status information of an elevator is obtained. The moving status information comprises at least a source floor information indicating where a passenger enters the elevator and a target floor information indicating where the elevator is moving. The multimedia information to be displayed is determined based on the moving status information of the elevator and the determined multimedia information is displayed in the elevator.
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公开(公告)号：US20210117626A1
公开(公告)日：2021-04-22
申请号：US17133965
申请日：2020-12-24
Applicant: International Business Machines Corporation
Inventor： Ke Ke Cai , Jing Ding , Zhong Su , Chang Hua Sun , Li Zhang , Shi Wan Zhao
Abstract: Techniques are provided for training, by a system operatively coupled to a processor, an attention weighted recurrent neural network encoder-decoder (AWRNNED) using an iterative process based on one or more paragraphs of agent sentences from respective transcripts of one or more conversations between one or more agents and one or more customers, and based on one or more customer response sentences from the respective transcripts, and generating, by the system, one or more groups respectively comprising one or more agent sentences and one or more customer response sentences selected based on attention weights of the AWRNNED.
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公开(公告)号：US10726333B2
公开(公告)日：2020-07-28
申请号：US16286917
申请日：2019-02-27
Applicant: International Business Machines Corporation
Inventor： Keke Cai , Jing Ding , Li Zhang , Shiwan Zhao , Zhong Su
IPC: H04M3/00 , H04M5/00 , G06N3/08 , G06Q10/06 , H04M3/51 , G06N5/00 , G06N3/00 , G06N20/00 , G06N7/00 , G06F40/35 , G10L25/63
Abstract: A topic guidance method, system, and computer program product for suggesting, via a processor on a computer, a conversation topic for the agent to engage the customer based on a learned conversation topic model, the conversation model being a static model.
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公开(公告)号：US20180357558A1
公开(公告)日：2018-12-13
申请号：US15617860
申请日：2017-06-08
Applicant: International Business Machines Corporation
Inventor： Jing Ding , Jing Li , Ji Jiang Song , Jian Wang
CPC classification number: G06N99/005 , G06F17/30312 , G06F17/30371 , G06N5/047
Abstract: The subject disclosure relates to employing grouping and selection components to facilitate a grouping of failure data associated with oil and gas exploration equipment into one or more equipment failure type groups. In an example, a method comprises grouping, by a system operatively coupled to a processor, training data of a set of equipment failure data into one or more failure type groups based on one or more determined failure criteria, wherein the one or more failure type groups represent equipment failure classifications associated with energy exploration processes; and selecting, by the system, first ungrouped data from the set of equipment failure data based on a level of similarity between the first ungrouped data and the training data.
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