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1. 发明授权

US11651159B2 Semi-supervised system to mine document corpus on industry specific taxonomies 有权
公开(公告)号：US11651159B2
公开(公告)日：2023-05-16
申请号：US16289708
申请日：2019-03-01
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Pietro Mazzoleni , Wesley M Gifford , Elham Khabiri
IPC分类号： G06N5/02 , G06F40/30 , G06N5/022 , G06F16/901 , G06F16/9538 , G06N20/00 , G06F16/9035 , G06F18/21
CPC分类号： G06F40/30 , G06F16/9024 , G06F16/9035 , G06F16/9538 , G06F18/2193 , G06N5/022 , G06N20/00
摘要： A method, computer system, and a computer program product for generating a custom corpus is provided. The present invention may include generating a domain graph. The present invention may also include gathering seed data based on the generated domain graph. The present invention may then include identifying domain related data based on the gathered seed data. The present invention may further include querying the domain related data. The present invention may also include creating word embeddings for the domain related data. The present invention may then include evaluating the domain related data.

2. 发明申请

US20200279171A1 SEMI-SUPERVISED SYSTEM TO MINE DOCUMENT CORPUS ON INDUSTRY SPECIFIC TAXONOMIES 审中-公开
公开(公告)号：US20200279171A1
公开(公告)日：2020-09-03
申请号：US16289708
申请日：2019-03-01
申请人： International Business Machines Corporation
发明人： Pietro Mazzoleni , Wesley M. Gifford , Elham Khabiri
IPC分类号： G06N5/02 , G06F16/901 , G06K9/62 , G06F16/9035 , G06F16/9538 , G06N20/00 , G06F17/27
摘要： A method, computer system, and a computer program product for generating a custom corpus is provided. The present invention may include generating a domain graph. The present invention may also include gathering seed data based on the generated domain graph. The present invention may then include identifying domain related data based on the gathered seed data. The present invention may further include querying the domain related data. The present invention may also include creating word embeddings for the domain related data. The present invention may then include evaluating the domain related data.

3. 发明授权

US09208449B2 Process model generated using biased process mining 有权
标题翻译：使用偏向流程挖掘生成的流程模型
公开(公告)号：US09208449B2
公开(公告)日：2015-12-08
申请号：US13833216
申请日：2013-03-15
申请人： International Business Machines Corporation
发明人： Richard T. Goodwin , Pietro Mazzoleni , Aubrey J. Rembert
IPC分类号： G06F15/18 , G06N99/00 , G06N5/02 , G06Q40/00
CPC分类号： G06N99/005 , G06N5/022 , G06Q10/067 , G06Q40/00
摘要： Embodiments relate to a method, system, and computer program product for a process model. The method includes extracting data associated with a process execution trace of a running process and extracting any prior knowledge data relating to the running process. The method also includes calculating at least one transition confidence parameter for the prior knowledge data; and identifying any existing process models relating to the running process. A confidence trace bias is also generated for any existing process model identified. An enhanced bias value is then calculated by combining the confidence trace bias value and value of the transition confidence parameter. Using as input the extracted process execution trace data, the prior knowledge data, the identified existing model and the enhanced bias value, a learned process model is then generated.
摘要翻译：实施例涉及用于过程模型的方法，系统和计算机程序产品。该方法包括提取与运行进程的进程执行跟踪关联的数据，并提取与运行进程有关的任何先验知识数据。该方法还包括为现有知识数据计算至少一个转换置信度参数; 并识别与运行过程相关的任何现有过程模型。任何已识别的现有流程模型也产生置信痕迹偏差。然后通过组合置信跟踪偏差值和转移置信度参数的值来计算增强的偏差值。使用提取的过程执行跟踪数据，现有知识数据，识别的现有模型和增强偏差值作为输入，生成学习过程模型。

4. 发明申请

US20150242872A1 MANAGING MARKETING IMPRESSIONS WITH CONSUMER REWARDS 审中-公开
标题翻译：用消费者奖励来管理市场营销
公开(公告)号：US20150242872A1
公开(公告)日：2015-08-27
申请号：US14189486
申请日：2014-02-25
申请人： International Business Machines Corporation
发明人： Pietro Mazzoleni , Pavankumar Murali , Hironori Takeuchi , Roman Vaculin
IPC分类号： G06Q30/02 , G06Q50/00
CPC分类号： G06Q30/0211 , G06Q30/0217 , G06Q50/01
摘要： A method, apparatus, and computer program product for managing marketing impressions. An apparatus identifies utility of a seller and utility of a user. The apparatus generates an offer of a reward based on the utility of the seller and the utility of the user. The offer of the reward is for performing a social marketing task. The social marketing task is for generating a first number of marketing impressions to achieve a set of objectives of the seller. The apparatus activates the reward for the user when the social marketing task is completed. The social marketing task is completed when the apparatus determines that the user has accepted the offer and the performing of the social marketing task has generated the first number of marketing impressions.
摘要翻译：用于管理营销印象的方法，设备和计算机程序产品。一种装置识别用户的卖方和公用事业的效用。该装置基于卖方的效用和用户的效用产生报酬。奖励的提供是执行社会营销任务。社交营销任务是产生第一批营销印象，以实现卖方的一系列目标。当社会营销任务完成时，设备激活用户的奖励。当设备确定用户已经接受报价并且执行社交营销任务已经产生了第一数量的营销印象时，完成了社交营销任务。

5. 发明申请

US20140279769A1 PROCESS MODEL GENERATED USING BIASED PROCESS MINING 有权
标题翻译：使用偏心过程采矿生成的工艺模型
公开(公告)号：US20140279769A1
公开(公告)日：2014-09-18
申请号：US13970826
申请日：2013-08-20
申请人： International Business Machines Corporation
发明人： Richard T. Goodwin , Pietro Mazzoleni , Aubrey J. Rembert
IPC分类号： G06N99/00
CPC分类号： G06N99/005 , G06N5/022 , G06Q10/067 , G06Q40/00
摘要： Embodiments relate to a method, system, and computer program product for a process model. The method includes extracting data associated with a process execution trace of a running process and extracting any prior knowledge data relating to the running process. The method also includes calculating at least one transition confidence parameter for the prior knowledge data; and identifying any existing process models relating to the running process. A confidence trace bias is also generated for any existing process model identified. An enhanced bias value is then calculated by combining the confidence trace bias value and value of the transition confidence parameter. Using as input the extracted process execution trace data, the prior knowledge data, the identified existing model and the enhanced bias value, a learned process model is then generated.
摘要翻译：实施例涉及用于过程模型的方法，系统和计算机程序产品。该方法包括提取与运行进程的进程执行跟踪关联的数据，并提取与运行进程有关的任何先验知识数据。该方法还包括为现有知识数据计算至少一个转换置信度参数; 并识别与运行过程相关的任何现有过程模型。任何已识别的现有流程模型也产生置信痕迹偏差。然后通过组合置信跟踪偏差值和转移置信度参数的值来计算增强的偏差值。使用提取的过程执行跟踪数据，现有知识数据，识别的现有模型和增强偏差值作为输入，生成学习过程模型。

6. 发明授权

US11443330B2 Product preference and trend analysis for gatherings of individuals at an event 有权
公开(公告)号：US11443330B2
公开(公告)日：2022-09-13
申请号：US16996066
申请日：2020-08-18
申请人： International Business Machines Corporation
发明人： Jayasimha Bheemasena Rao Narasimha Murthy , Pietro Mazzoleni
IPC分类号： G06Q10/00 , G06Q30/02
摘要： A system, method and program product for analyzing product preferences and providing trend analysis for a gathering of individuals at an event. An infrastructure is disclosed having a system for setting up and managing an event; a system for registering users physically attending the event; a system for registering items associated with the users and storing event-user-item (EUI) information in an EUI database; and an analysis system for analyzing EUI information to provide item preferences and trend analysis.

7. 发明申请

US20200065645A1 FACILITATING EXTRACTION OF INDIVIDUAL CUSTOMER LEVEL RATIONALES UTILIZING DEEP LEARNING NEURAL NETWORKS COUPLED WITH INTERPRETABILITY-ORIENTED FEATURE ENGINEERING AND POST-PROCESSING 审中-公开
公开(公告)号：US20200065645A1
公开(公告)日：2020-02-27
申请号：US16113734
申请日：2018-08-27
申请人： International Business Machines Corporation
发明人： Pavankumar Murali , Nianjun Zhou , Ta-Hsin Li , Pietro Mazzoleni , Wesley Gifford
IPC分类号： G06N3/04 , G06N3/08 , G06Q30/02
摘要： The disclosure relates to extraction of rationales for studied outcome. A method comprises: grouping features as expert to align with a set of operating practices; generating interpretable features using operating rules, combining with statistical dependence analysis to bin selected features to generate favorite practice actions; grouping features as expert that combine a subset of the interpretable features to align with a set of operating practices. The method can also comprise: using a neural network or deep learning component to quantify contribution of respective experts at a consumer level applying a generic additive approach; extracting feature importance at an individual consumer-level decomposed from expert level importance; evaluating alternative, what-if, scenarios through sensitivity analysis to identify favorite practice actions; consolidating a subset of the practice actions at client or stakeholder levels; and routing respective practice actions as a function of responsibility for the set of operating practices to stakeholders or consumers.

8. 发明申请

US20190205726A1 COGNITIVE CONVERSATIONAL AGENT FOR PROVIDING PERSONALIZED INSIGHTS ON-THE-FLY 审中-公开
公开(公告)号：US20190205726A1
公开(公告)日：2019-07-04
申请号：US15860047
申请日：2018-01-02
申请人： International Business Machines Corporation
发明人： Elham Khabiri , Pietro Mazzoleni , Lei Kuang
IPC分类号： G06N3/00 , G06F17/30
CPC分类号： G06N3/006 , G06F16/24522 , G06F16/2465 , G06F16/248
摘要： A system, method and computer program product, which given in input a question in natural language format, delivers personalized insights related to the answer. Personalized insights are selected among candidate insights mined from the data and ranked based on closeness to (mined) user-preference, relevance to the question, and surprise factor. Two core components include: Question analysis and meaningful insight look up and Multi-dimensional insight ranking. The Question analysis and meaningful insights lookup module performs a semantic analysis of the questions and, uses techniques including “templates” to build new questions which could uncover insights from the data. The Multi-dimensional insight ranking module takes in input a list of insights returned from Question analysis and meaningful insights lookup and rank such insights based on such factors as: relevance to the query, surprise factor, and user preferences.

9. 发明申请

US20170372347A1 SEQUENCE-BASED MARKETING ATTRIBUTION MODEL FOR CUSTOMER JOURNEYS 审中-公开
公开(公告)号：US20170372347A1
公开(公告)日：2017-12-28
申请号：US15189648
申请日：2016-06-22
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Ying Li , Pietro Mazzoleni , Pavankumar Murali , Roman Vaculin , Zi Yin
IPC分类号： G06Q30/02 , G06Q10/06
CPC分类号： G06Q30/0242 , G06Q10/067
摘要： Methods and a system are provided. A method includes extracting subsequences from a sequence of a customer journey that includes customer interactions on different channels at different times on different topics. The method further includes measuring an effectiveness of each of the subsequences based on journey success data, by applying a statistical hypothesis testing approach. The method also includes determining a contribution of each of the customer interactions for a given one of the subsequences, by applying a sequence-based journey attribution model.

10. 发明申请

US20170186041A1 RETARGETING SYSTEM FOR DECISION MAKING UNITS 审中-公开
公开(公告)号：US20170186041A1
公开(公告)日：2017-06-29
申请号：US14979984
申请日：2015-12-28
申请人： International Business Machines Corporation
发明人： Ying Li , Rong Liu , Pietro Mazzoleni , Pavankumar Murali , Sachin Pai , Anshul Sheopuri , Roman Vaculin
IPC分类号： G06Q30/02
CPC分类号： G06Q30/0269 , G06Q30/0246 , G06Q30/0273
摘要： An aspect of the disclosure includes a method, a system and a computer program product for retargeting content to a decision making unit. The method including determining a journey stage for each of the plurality of individuals. A retargeting strategy is identified for each of the plurality of individuals, the retargeting strategy based at least in part on the journey stage for each of the plurality of individuals and a cost factor. Content data is transmitted to at least one of the plurality of individuals using retargeting based at least in part on the retargeting strategy.

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