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公开(公告)号:US10565277B2
公开(公告)日:2020-02-18
申请号:US16419425
申请日:2019-05-22
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
IPC: G06F16/9535 , G06F17/27 , G06F3/0484 , G06F16/22
Abstract: A method and system for improving a network search query is provided. The method includes receiving a natural language Internet search request and executing a real time search with respect to a database associated with an Internet based search for specified digital information. Categories associated with the natural language Internet search request are identified and associated intent information is received. Digital attributes data identified during the real time search are identified and an associated concept is extracted. The associated concept is mapped to the digital attributes and search based software code is generated and executed. Resulting relevant results are presented and the database is configured such that the relevant results are stored within a logical partition of the database.
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公开(公告)号:US10387515B2
公开(公告)日:2019-08-20
申请号:US15617457
申请日:2017-06-08
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor: Ying Li , Anh Q. Lu , Jian Lu , Chuan Y. Wang , Wei Yan , Shen H. Zhan , Xin Y. Zhou
IPC: G06F16/242 , G06F16/248 , G06F16/2457 , G06F16/9535
Abstract: A method and system for improving a network search query is provided. The method includes executing a real time search with respect to a database associated with an Internet based search for specified digital information. Digital attributes of digital data identified during the real time search are identified and keywords associated with the digital attributes are ranked. In response, search based software code associated with an Internet search for the digital information is generated and associated real time user interactions are recorded. The search based software code is modified resulting in generation of modified search based software code. The modified search based software code is executed and relevant results associated with the Internet based search are presented via a GUI. The database is configured such that the modified search is stored within a logical partition of the database.
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公开(公告)号:US10169371B2
公开(公告)日:2019-01-01
申请号:US15841485
申请日:2017-12-14
Applicant: International Business Machines Corporation
Inventor: Richard T. Goodwin , Pu Huang , Ying Li
IPC: G06K9/00 , G06F17/30 , H04L29/08 , G06K9/62 , G06K9/46 , G06K9/66 , H04N5/232 , G06K9/52 , G06N99/00
Abstract: A method includes obtaining from an online social media site a plurality of instances of images of objects associated with a person; analyzing with a data processor the plurality of instances of the images with a plurality of predetermined style classifiers to obtain a score for each image for each style classifier; and determining with the data processor, based on the obtained scores, a likely preference of the person for a particular style of object. The plurality of instances of images of objects associated with the person can be images that were posted, shared or pinned by person, and images that the person expressed a preference for. In a non-limiting embodiment the object is clothing, and the style can include a fashion style or fashion genre including color preferences. A system and a computer program product to perform the method are also disclosed.
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公开(公告)号:US20170372347A1
公开(公告)日:2017-12-28
申请号:US15189648
申请日:2016-06-22
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor: Ying Li , Pietro Mazzoleni , Pavankumar Murali , Roman Vaculin , Zi Yin
CPC classification number: G06Q30/0242 , G06Q10/067
Abstract: 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.
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公开(公告)号:US09736446B1
公开(公告)日:2017-08-15
申请号:US15009140
申请日:2016-01-28
Applicant: International Business Machines Corporation
Inventor: Rogerio S. Feris , Matous Havlena , Minkyong Kim , Ying Li , Clifford A. Pickover , Valentina Salapura
CPC classification number: H04N9/643 , H04N1/6047 , H04N1/628 , H04N9/73
Abstract: An aspect of automated color adjustment of media files includes receiving profile data corresponding to a subject of image capture. The profile data indicates color values of an element associated with the subject. An aspect also includes storing the profile data in a memory device coupled to a computer processor, capturing an image of the subject, and processing the image and adjusting color aspects based on the color values associated with the element.
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公开(公告)号:US20170186041A1
公开(公告)日:2017-06-29
申请号:US14979984
申请日:2015-12-28
Applicant: International Business Machines Corporation
Inventor: Ying Li , Rong Liu , Pietro Mazzoleni , Pavankumar Murali , Sachin Pai , Anshul Sheopuri , Roman Vaculin
IPC: G06Q30/02
CPC classification number: G06Q30/0269 , G06Q30/0246 , G06Q30/0273
Abstract: 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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公开(公告)号:US20170124434A1
公开(公告)日:2017-05-04
申请号:US15403262
申请日:2017-01-11
Applicant: International Business Machines Corporation
Inventor: Richard T. Goodwin , Pu Huang , Ying Li
CPC classification number: G06F17/30247 , G06F17/30035 , G06F17/30265 , G06F17/30271 , G06F17/3028 , G06F17/30867 , G06K9/46 , G06K9/4671 , G06K9/52 , G06K9/6256 , G06K9/6267 , G06K9/628 , G06K9/6287 , G06K9/6292 , G06K9/66 , G06N99/005 , H04L67/306 , H04N5/23206
Abstract: A method includes obtaining from an online social media site a plurality of instances of images of objects associated with a person; analyzing with a data processor the plurality of instances of the images with a plurality of predetermined style classifiers to obtain a score for each image for each style classifier; and determining with the data processor, based on the obtained scores, a likely preference of the person for a particular style of object. The plurality of instances of images of objects associated with the person can be images that were posted, shared or pinned by person, and images that the person expressed a preference for. In a non-limiting embodiment the object is clothing, and the style can include a fashion style or fashion genre including color preferences. A system and a computer program product to perform the method are also disclosed.
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公开(公告)号:US08872947B2
公开(公告)日:2014-10-28
申请号:US14036264
申请日:2013-09-25
Applicant: International Business Machines Corporation
Inventor: Norman Haas , Ying Li , Charles A. Otto , Sharathchandra Pankanti , Hoang Trinh
CPC classification number: H04N5/361 , B61L23/044 , B61L23/045 , G06K9/00791 , G06T5/008 , G06T2207/30108 , G06T2207/30252
Abstract: An apparatus, computer program product, and method for reducing persistent shadows within an image. The apparatus includes a camera configured to generate frames of the image. The apparatus also includes a computer processor. The computer processor calculates the average normalized brightness for each pixel in the image and adjusts the brightness of each pixel with the average normalized brightness.
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49.
公开(公告)号:US20130189834A1
公开(公告)日:2013-07-25
申请号:US13791520
申请日:2013-03-08
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor: Ravikumar Ramachandran , Ramachandra Divakaruni , Ying Li
IPC: H01L29/40
CPC classification number: H01L29/401 , H01L21/76895 , H01L21/76897 , H01L29/49 , H01L29/4983 , H01L29/51 , H01L29/66545 , H01L29/6656
Abstract: A semiconductor structure is provided that includes a semiconductor substrate having a plurality of gate stacks located thereon. Each gate stack includes a high k gate dielectric layer, a work function metal layer and a conductive metal. A spacer is located on sidewalls of each gate stack and a self-aligned dielectric liner is present on an upper surface of each spacer. A bottom surface of each self-aligned dielectric liner is present on an upper surface of a semiconductor metal alloy. A contact metal is located between neighboring gate stacks and is separated from each gate stack by the self-aligned dielectric liner. The structure also includes another contact metal having a portion that is located on and in direct contact with an upper surface of the contact metal and another portion that is located on and in direct contact with the conductive metal of one of the gate stacks.
Abstract translation: 提供一种半导体结构,其包括具有位于其上的多个栅极叠层的半导体衬底。 每个栅极堆叠包括高k栅介质层,功函数金属层和导电金属。 间隔件位于每个栅极堆叠的侧壁上,并且自对准电介质衬垫存在于每个间隔件的上表面上。 每个自对准电介质衬垫的底表面存在于半导体金属合金的上表面上。 接触金属位于相邻的栅极堆叠之间,并通过自对准电介质衬垫与每个栅极堆叠分离。 该结构还包括另一个接触金属,其具有位于接触金属的上表面上且与触头金属的上表面直接接触的部分,以及位于与其中一个栅极叠层的导电金属直接接触的另一部分。
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公开(公告)号:US11520649B2
公开(公告)日:2022-12-06
申请号:US16191975
申请日:2018-11-15
Applicant: International Business Machines Corporation
Inventor: Ole Asmussen , Robert Beiderbeck , Ying Li , Erik Rueger , Markus Schäfer
IPC: G06F11/07 , G06F16/903 , G06K9/62 , G06N20/00
Abstract: A processor may provide a machine learning model. The machine learning model may have an input and an output. The processor may receive input data. The input data may include log data of a queried storage medium and a queried media drive. The processor may provide the input data to the input of the machine learning model. The processor may determine, from the output of the machine learning model, a predicted failure cause category and a predicted failure probability assigned to the predicted failure cause category. The processor may provide a first prediction to a user.
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