公开(公告)号：US20230342545A1

公开(公告)日：2023-10-26

申请号：US17728450

申请日：2022-04-25

Applicant: International Business Machines Corporation

Inventor： Ruchi Mahindru ,  Xin Zhou

IPC: G06F40/211 ,  G06N5/02 ,  G06F16/332

CPC classification number: G06F40/211 ,  G06N5/02 ,  G06F16/3329

Abstract: A system, computer program product, and a computer implemented method are provided for interfacing with a virtual dialog environment to dynamically and optimally collected context for problem diagnosis and resolution. A context model is leveraged to identify context entities, and one or more corresponding context collection mechanisms. The context model is implemented in real-time to facilitate dynamic selection of one or more of the identified context collection mechanisms, which are selectively subject to execution to resolve the problem diagnosis.

公开(公告)号：US20230064961A1

公开(公告)日：2023-03-02

申请号：US17458635

申请日：2021-08-27

Applicant: International Business Machines Corporation

Inventor： Ruchi Mahindru ,  Xin Zhou ,  Martin Franz ,  Sinem Guven Kaya

IPC: G06F40/35 ,  G06F16/33 ,  G06F16/335

Abstract: A method for estimating response relevance with respect to a received query includes receiving a set of user feedback items, a set of historical feedback data, and a set of context data, creating a user profile model according to the set of historical feedback data, wherein the user profile model indicates a weighting attribute based on the set of historical feedback data, weighting the set of user feedback items according to the created user profile model, creating a response relevance estimation model based on the weighted set of user feedback items, the received set of context data, and the received set of historical feedback data, and ranking one or more responses according to the created response relevance estimation model. The method may further include adjusting the user profile model and the response relevance estimation model responsive to receiving additional data.

公开(公告)号：US11509770B2

公开(公告)日：2022-11-22

申请号：US16141223

申请日：2018-09-25

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Jie Ma ,  Xin Zhou ,  Hao Chen ,  Rachel Mohammed ,  Christopher J. Davis ,  Sharath Kancharla ,  Zhongzheng Shu ,  Manon Knoertzer ,  Ran Guan

IPC: H04M3/523 ,  G06N3/04 ,  G06Q10/06 ,  G06Q30/00 ,  G10L15/16 ,  G10L15/22

Abstract: A computer-implemented method is presented for selecting a preferred live agent from a plurality of live agents. The method includes constructing, via the processor, a human expertise matrix pertaining to each of the plurality of live agents by determining an average net promoter score (NPS) for each of the plurality of live agents for each category of a plurality of categories, and in response to a voice call by a user, determining, via the processor, a predicted human expertise on average by collectively assessing the human expertise matrix, a predicted NPS derived from a first deep neural network, and a predicted category derived from a second deep neural network. The method further includes, based on the predicted human expertise on average determined, triggering communication via the live agent communication network between the user and the preferred live agent to initiate a conversation between the user and the preferred live agent.

公开(公告)号：US11295727B2

公开(公告)日：2022-04-05

申请号：US16586966

申请日：2019-09-28

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Lijun Mei ,  Qi Cheng Li ,  Xin Zhou ,  Xue Han ,  Yan Fei Wang

IPC: G10L15/06 ,  H04L51/02 ,  G10L15/22 ,  G10L15/18 ,  G06K9/62 ,  G10L15/183

Abstract: A chatbot system receives utterances of a conversation. The chatbot system constructs a conversation knowledge graph comprising one or more dialogue segments that correspond to utterances of the conversation. The chatbot system identifies a dialogue segment in the conversation knowledge graph having a contextual uncertainty that is detected based on a context model. The chatbot system generates a clarifying question for the identified dialogue segment having the contextual uncertainty. The chatbot system receives a clarifying answer from a user interface of the computing device to the clarifying question. The chatbot system updates the context model and the conversation knowledge graph based on the clarifying question and the clarifying answer to resolve the contextual uncertainty of the identified dialogue segment.

公开(公告)号：US11222283B2

公开(公告)日：2022-01-11

申请号：US16168031

申请日：2018-10-23

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Zhuoxuan Jiang ,  Jie Ma ,  Ya Bin Dang ,  Jian Wang ,  Qi Cheng Li ,  Li Jun Mei ,  Xin Zhou ,  Hao Chen ,  Yi Peng Yu ,  Shao Chun Li

IPC: G06Q30/02 ,  G06N20/00 ,  G10L15/18 ,  G06Q10/06

Abstract: A computer-implemented method is presented for enabling hierarchical conversational policy learning for sales strategy planning. The method includes enabling a user to have a conversation with a robot via a conversation platform, employing a plan database to store general plans used in the conversation, employing an industry database to store a plurality of candidate plans pertaining to sales promotions, and employing a plan and policy optimizer to allow the robot to select and output an optimal plan from the plurality of candidate plans, the optimal plan determined by hierarchical reinforcement learning via a first learner and a second learner, the first leaner selecting the optimal plan and the second learner selecting an optimal action.

公开(公告)号：US11155141B2

公开(公告)日：2021-10-26

申请号：US16742533

申请日：2020-01-14

Applicant: International Business Machines Corporation

Inventor： Hao Chen ,  Shao Chun Li ,  Qi Cheng Li ,  Jie Ma ,  Li Jun Mei ,  Jian Wang ,  Xin Zhou

IPC: B60H1/00 ,  B60N2/56 ,  B60N2/90 ,  B60N2/00

Abstract: A vehicle occupant comfort system, comprises a processor that stores computer executable components stored in memory. A plurality of sensors sense ambient conditions associated with exterior and interior conditions of a vehicle. A context component infers or determines context of an occupant of the vehicle. A comfort model component implicitly and explicitly trained on occupant comfort related data analyzes information from the plurality of sensors and context component. A comfort controller adjusts environmental conditions of a passenger compartment of the vehicle based at least in part on output of the comfort model component.

公开(公告)号：US11046293B2

公开(公告)日：2021-06-29

申请号：US16294122

申请日：2019-03-06

Applicant: International Business Machines Corporation

Inventor： Qi Cheng Li ,  Jie Ma ,  Li Jun Mei ,  Xin Zhang ,  Xin Zhou

IPC: B60T8/172 ,  B60T7/04

Abstract: Systems and methods for facilitating an automatic adjustment of a braking system is provided. In one example, a computer-implemented method can comprise generating, by a system operatively coupled to a processor, a braking curve model based on braking usage pattern data corresponding to one or more vehicles. The computer-implemented method can also comprise adjusting, by the system, a supplemental braking component of the first vehicle based on a simulation of one or more braking components corresponding to the one or more vehicles, wherein the one or more braking components is represented by the braking curve model.

公开(公告)号：US20200218780A1

公开(公告)日：2020-07-09

申请号：US16238868

申请日：2019-01-03

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Li Jun Mei ,  Qi Cheng Li ,  Xin Zhou ,  Jie Ma ,  Shao Chun Li

IPC: G06F17/27 ,  G06N3/08

Abstract: Systems and method for automated contextual dialog generation for cognitive conversations include embedding a natural language sentence input by a user into a corresponding sentence vector using a sentence embedder. A context array is generated using a contextual sentence embedder to embed the sentence vector and previous sentence vectors of a conversation history into a context array. Response words are predicted from the sentence vector by performing sequence-to-sequence dialog prediction with a dialog prediction network. Context of the input sentence is quantified by extracting context features from the context array using a situation quantification network. A response dialog is generated in natural language to display to a user, the response dialog responding to the input sentence with a response generator by determining a dialog state including the response words and the quantified context and optimizing the response dialog with reinforcement learning corresponding to the dialog state.

公开(公告)号：US20200151256A1

公开(公告)日：2020-05-14

申请号：US16190473

申请日：2018-11-14

Applicant: International Business Machines Corporation

Inventor： Xin Zhou ,  Qi Cheng Li ,  Jian Wang ,  Li Jun Mei ,  Hao Chen ,  Shao Chun Li ,  Ya Bin Dang

IPC: G06F17/27 ,  G06N5/02 ,  G06F17/30

Abstract: The present disclosure provides a method, computer system and computer program product facilitating generation of a conversation content. A computer-implemented method comprises: obtaining, by a device operatively coupled to one or more processors, history conversation data of an user; determining, by the device, a professional level of the user based on the history conversation data; and generating, by the device, a conversation content for the user based on the professional level of the user.

公开(公告)号：US20200051692A1

公开(公告)日：2020-02-13

申请号：US16056832

申请日：2018-08-07

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Jian Wang ,  Qi Cheng Li ,  Ya Bin Dang ,  Li Jun Mei ,  Xin Zhou

IPC: G16H50/20 ,  G16H10/60

Abstract: Methods and systems for treating a disease include navigating a symptom-centric decision tree which accounts for probabilities for symptoms and diseases and emergency values for the symptoms and diseases, based on information provided by a user, to determine a disease. A treatment is provided to the user based on the determined disease.