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公开(公告)号：US20240330672A1
公开(公告)日：2024-10-03
申请号：US18129368
申请日：2023-03-31
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Bhavya . , Yu Deng , Md Faisal Mahbub Chowdhury , Paulina Toro Isaza , Michael Elton Nidd , Amar Prakash Azad , Harshit Kumar , Larisa Shwartz
Abstract: A method, system, and computer program product that is configured to: train at least one model based on a corpus of historical data comprising annotated historical tickets; extract a textual sequence of a historical ticket based on the at least one trained model; determine a sentiment of the textual sequence of the historical ticket; and generate mitigation guidance to mitigate an issue in a current ticket based on the textual sequence of the historical ticket and the determined sentiment of the textual sequence of the historical ticket.
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公开(公告)号：US12001896B2
公开(公告)日：2024-06-04
申请号：US18296777
申请日：2023-04-06
Applicant: International Business Machines Corporation
Inventor： Rajarshi Haldar , Yu Deng , Lingfei Wu , Ruchi Mahindru , Shu Tao
IPC: G06F9/44 , G06F9/54 , G06F16/35 , G06F16/38 , G06F16/901 , G06F40/205 , G06N3/088 , G06N20/00
CPC classification number: G06F9/542 , G06F16/35 , G06F16/38 , G06F16/9024 , G06F40/205 , G06N3/088 , G06N20/00
Abstract: Computer-implemented techniques for unsupervised event extraction are provided. In one instance, a computer implemented method can include parsing, by a system operatively coupled to a processor, unstructured text comprising event information to identify candidate event components. The computer implemented method can further include employing, by the system, one or more unsupervised machine learning techniques to generate structured event information defining events represented in the unstructured text based on the candidate event components.
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公开(公告)号：US20240070574A1
公开(公告)日：2024-02-29
申请号：US17971381
申请日：2022-10-21
Applicant: International Business Machines Corporation
Inventor： Soumitra Sarkar , Yu Deng , John Alan Bivens , Muhammad Jawad Paracha , Ruchi Mahindru
CPC classification number: G06Q10/063112 , G06Q10/20
Abstract: An embodiment includes creating an action item record corresponding to an action item of an action plan record that is responsive to a service request. The action item record comprises a service requirement of the action item. The embodiment executes a querying process that searches vendor records for candidate vendors associated with the service requirement and returns a set of candidate vendors. The embodiment updates the action item record with the set of candidate vendors and determines an optimal vendor team based at least in part on reputation data and cost data associated with each of the candidate vendors. The embodiment updates the action plan record to include the optimal vendor team, which triggers creation of a vendor team dispatch request.
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公开(公告)号：US11526688B2
公开(公告)日：2022-12-13
申请号：US16850735
申请日：2020-04-16
Applicant: International Business Machines Corporation
Inventor： Nandana Mihindukulasooriya , Ruchi Mahindru , Md Faisal Mahbub Chowdhury , Yu Deng , Alfio Massimiliano Gliozzo , Sarthak Dash , Nicolas Rodolfo Fauceglia , Gaetano Rossiello
Abstract: One embodiment of the invention provides a method for terminology ranking for use in natural language processing. The method comprises receiving a list of terms extracted from a corpus, where the list comprises a ranking of the terms based on frequencies of the terms across the corpus. The method further comprises accessing a domain ontology associated with the corpus, and re-ranking the list based on the domain ontology. The resulting re-ranked list comprises a different ranking of the terms based on relevance of the terms using knowledge from the domain ontology. The method further comprises generating clusters of terms via a trained model adapted to the corpus, and boosting a rank of at least one term of the re-ranked list based on the clusters to increase a relevance of the at least one term using knowledge from the trained model.
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公开(公告)号：US20220083559A1
公开(公告)日：2022-03-17
申请号：US17022204
申请日：2020-09-16
Applicant: International Business Machines Corporation
Inventor： Md Faisal Mahbub Chowdhury , Yu Deng , Alfio Massimiliano Gliozzo , Ruchi Mahindru , NANDANA MIHINDUKULASOORIYA , Nicolas Rodolfo Fauceglia , Gaetano Rossiello
IPC: G06F16/2457 , G06F16/242
Abstract: A method, system, and computer program product for automated evaluation of information retrieval systems are provided. The method accesses a natural language query from a set of natural language queries. The natural language query is associated with a query difficulty level. The method generates one or more natural language responses to the natural language natural language query. Each natural language response is associated with at least one facet of the plurality of facets. The method generates a set of feedback cues. A set of search results for the natural language query are returned. The set of search results include a highest ranked natural language response of the one or more natural language responses. The method generates an evaluation result for the HCIR system for the query difficulty level based on the one or more natural language responses, the set of search results, and the set of feedback cues.
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Patent Agency Ranking
公开(公告)号：US20210042852A1
公开(公告)日：2021-02-11
申请号：US16533869
申请日：2019-08-07
Applicant: International Business Machines Corporation
Inventor： Jenny S. Li , Yu Deng , Al Chakra
Abstract: A method for analyzing images of a user in a social network includes analyzing one or more images of a user to identify outfit characteristics, creating a digital inventory of the images of the user, calculating a repetition score for a user's outfit in one or more images of the user, wherein the repetition score is calculated relative to one or more stored images of the user, identifying recommended actions, corresponding to modifications to the outfit characteristics of the user in the images of the user, wherein the identified recommended actions result in a lower repetition score, notifying a user of one or more images of the user and the identified recommended actions, wherein the one or more images of the user have a repetition score greater than a threshold value, executing an appropriate action in a social media profile on a social network platform in a user's social network.
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公开(公告)号：US20200226158A1
公开(公告)日：2020-07-16
申请号：US16827667
申请日：2020-03-23
Applicant: International Business Machines Corporation
Inventor： Russell W. Bergs , Yu Deng , Kaoutar El Maghraoui , Matthew R. Koozer , HariGovind V. Ramasamy , Soumitra Sarkar , Rongda Zhu
IPC: G06F16/332
Abstract: A base query having a plurality of base query terms is obtained. A plurality of problem log files are accessed. Words, contained in a corpus vocabulary, are extracted from the plurality of problem log files. Based on the words extracted from the plurality of problem log files, a first expanded query is generated from the base query. The corpus is queried, via a query engine and a corpus index, with a second expanded query related to the first expanded query.
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公开(公告)号：US20200074002A1
公开(公告)日：2020-03-05
申请号：US16122552
申请日：2018-09-05
Applicant: International Business Machines Corporation
Inventor： Anup Kalia , Jin Xiao , Yu Deng , Maja Vukovic
Abstract: Systems, computer-implemented methods, and computer program products to facilitate query recommendation are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an ontology component that can generate an ontology based on unstructured data of a description of an application programming interface. The computer executable components can further comprise a reasoner component that can identify one or more terms of the ontology that correspond semantically to a term of a query.
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公开(公告)号：US10546025B2
公开(公告)日：2020-01-28
申请号：US14672860
申请日：2015-03-30
Applicant: International Business Machines Corporation
Inventor： Yu Deng , Murthy V. Devarakonda , Rafah A. Hosn , Nithya Rajamani , Norbert G. Vogl
IPC: G06F16/951 , G06F16/2452 , G06F16/957 , G06F16/955 , G06F16/21
Abstract: A method, system and computer program product are disclosed for searching for data. In one embodiment, the invention provides a method comprising identifying a query and a search scope including a set of specified entities; and for each of these entities, estimating a number of documents that would be identified in a search through the entity to answer the query. On the basis of this estimating, a subset of the entities is formed. The query and this subset of entities are sent to a search engine to search the subset of entities to answer the query. In one embodiment, the estimating includes collecting statistical information from queries to build up a historical cache using heuristics or machine learning techniques, wherein the query includes a key word and a scope, and the historical cache contains a maximum number of returned results for an entity given the queries executed.
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公开(公告)号：US10248788B2
公开(公告)日：2019-04-02
申请号：US15194960
申请日：2016-06-28
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Yu Deng , Quang C. Duong , Jenny S. Li , Min Li , Theresa Y. Tai
Abstract: Examples of techniques for detecting harmful applications prior to installation on a user device are disclosed. In one example implementation according to aspects of the present disclosure, a computer-implemented method includes: analyzing, by a processing device, a plurality of reviews for each version of a plurality of versions of an application to determine, based on each of the plurality of reviews, whether each version of the plurality of versions is harmful; and responsive to determining that a particular version of the plurality of versions is harmful, preventing a user from installing the particular version.
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