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公开(公告)号:US12131006B2
公开(公告)日:2024-10-29
申请号:US18209159
申请日:2023-06-13
Applicant: Snap Inc.
Inventor: Sumbul Alvi , David Mark , Kimberly A. Phifer , Graham Reid , Suraj Vindana Samaranayake , Alexandre Valdetaro Porto
IPC: G06F3/048 , G06F3/0482 , G06F3/04845 , G06F16/903 , H04L51/52
CPC classification number: G06F3/0482 , G06F3/04845 , G06F16/90335 , H04L51/52
Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program and a method for navigating an avatar based on time zones. A global event is identified that begins at a particular time on a given date; a sequential list of time zones associated with a plurality of geographical locations is retrieved; and a current time at a first time zone of the sequential list of time zones is determined to have reached the particular time on the given date. In response, an avatar is generated for display on a map at a first of the plurality of geographical locations associated with the first time zone and is navigated to a second geographical location when a current time at a second time zone, associated with the second geographical location, reaches the particular time on the given date.
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公开(公告)号:US12130866B1
公开(公告)日:2024-10-29
申请号:US17114423
申请日:2020-12-07
Applicant: Splunk Inc.
Inventor: Lucas Murphey , David Hazekamp
IPC: G06F16/30 , G06F16/903 , G06F16/9032 , G06F16/906 , G06F16/907
CPC classification number: G06F16/90335 , G06F16/9032 , G06F16/906 , G06F16/907
Abstract: One or more processing devices receive a definition of a search query for a correlation search of a data store, the data store comprising time-stamped events that each include raw machine data reflecting activity in an information technology environment and produced by a component of the information technology environment, receive a definition of a triggering condition to be evaluated based on aggregated statistics of values of one or more fields of a dataset produced by the search query, receive a definition of one or more actions to be performed when the triggering condition is satisfied, generate, using search processing language, a statement to define the search query and the triggering condition, and in view of the results of the execution of the search processing language, cause generation of the correlation search using the defined search query, the triggering condition, and the one or more actions, the correlation search comprising updated search processing language having the search query and a processing command for criteria on which the triggering condition is based.
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公开(公告)号:US12118371B2
公开(公告)日:2024-10-15
申请号:US17557790
申请日:2021-12-21
Applicant: Meta Platforms, Inc.
Inventor: Scott Martin
IPC: G06F9/451 , G06F3/01 , G06F3/16 , G06F7/14 , G06F16/176 , G06F16/22 , G06F16/23 , G06F16/242 , G06F16/2455 , G06F16/2457 , G06F16/248 , G06F16/28 , G06F16/33 , G06F16/332 , G06F16/338 , G06F16/438 , G06F16/903 , G06F16/9032 , G06F16/9038 , G06F16/904 , G06F16/951 , G06F16/9535 , G06F18/2411 , G06F40/205 , G06F40/295 , G06F40/30 , G06F40/40 , G06N3/006 , G06N3/08 , G06N20/00 , G06Q50/00 , G06V20/10 , G06V40/16 , G06V40/20 , G10L13/00 , G10L13/04 , G10L15/02 , G10L15/06 , G10L15/07 , G10L15/16 , G10L15/18 , G10L15/183 , G10L15/187 , G10L15/22 , G10L15/26 , G10L17/06 , G10L17/22 , H04L12/28 , H04L41/00 , H04L41/22 , H04L43/0882 , H04L43/0894 , H04L51/02 , H04L51/046 , H04L51/216 , H04L51/52 , H04L67/10 , H04L67/306 , H04L67/50 , H04L67/53 , H04L67/5651 , H04L67/75 , H04W12/08
CPC classification number: G06F9/453 , G06F3/011 , G06F3/013 , G06F3/017 , G06F3/167 , G06F7/14 , G06F16/176 , G06F16/2255 , G06F16/2365 , G06F16/243 , G06F16/24552 , G06F16/24575 , G06F16/24578 , G06F16/248 , G06F16/285 , G06F16/3323 , G06F16/3329 , G06F16/3344 , G06F16/338 , G06F16/4393 , G06F16/90332 , G06F16/90335 , G06F16/9038 , G06F16/904 , G06F16/951 , G06F16/9535 , G06F18/2411 , G06F40/205 , G06F40/295 , G06F40/30 , G06F40/40 , G06N3/006 , G06N3/08 , G06N20/00 , G06Q50/01 , G06V20/10 , G06V40/172 , G06V40/28 , G10L15/02 , G10L15/063 , G10L15/07 , G10L15/16 , G10L15/1815 , G10L15/1822 , G10L15/183 , G10L15/187 , G10L15/22 , G10L15/26 , G10L17/06 , G10L17/22 , H04L12/2816 , H04L41/20 , H04L41/22 , H04L43/0882 , H04L43/0894 , H04L51/02 , H04L51/216 , H04L51/52 , H04L67/306 , H04L67/535 , H04L67/5651 , H04L67/75 , H04W12/08 , G06F2216/13 , G10L13/00 , G10L13/04 , G10L2015/223 , G10L2015/225 , H04L51/046 , H04L67/10 , H04L67/53
Abstract: In one embodiment, a method includes receiving one or more voice inputs from a first user, determining a first language register associated with the first user based on the one or more voice inputs, selecting a second language register for a voice response based on the one or more voice inputs, generating the voice response based on the second language register, and providing the voice response in response to the one or more voice inputs.
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公开(公告)号:US20240338414A1
公开(公告)日:2024-10-10
申请号:US18661397
申请日:2024-05-10
Applicant: Microsoft Technology Licensing, LLC
Inventor: Chenyan Xiong , Chen Zhao , Corbin Louis Rosset , Paul Nathan Bennett , Xia Song , Saurabh Kumar Tiwary
IPC: G06F16/93 , G06F16/903 , G06N3/04 , G06N3/08
CPC classification number: G06F16/93 , G06F16/90335 , G06N3/04 , G06N3/08
Abstract: This document relates to natural language processing using a framework such as a neural network. One example method involves obtaining a first document and a second document and propagating attention from the first document to the second document. The example method also involves producing contextualized semantic representations of individual words in the second document based at least on the propagating. The contextualized semantic representations can provide a basis for performing one or more natural language processing operations.
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公开(公告)号:US20240330372A1
公开(公告)日:2024-10-03
申请号:US18741176
申请日:2024-06-12
Applicant: Google LLC
Inventor: Abhanshu Sharma , David Petrou , Matthew Sharifi
IPC: G06F16/903 , G06F3/04842 , G06F3/04883 , G06F16/58 , G06F16/9032 , G06V10/764 , G06V10/82 , G06V20/20 , G06V20/62 , G06V20/70 , G06V30/10
CPC classification number: G06F16/90335 , G06F3/04842 , G06F3/04883 , G06F16/5866 , G06F16/90324 , G06V10/764 , G06V10/82 , G06V20/20 , G06V20/63 , G06V20/70 , G06V30/10 , G06V2201/10
Abstract: A computing system: receives a first user input from a user selecting a portion of the query image; detects text in a first area of the query image associated with the portion of the query image selected by the user; obtains first search results and a suggested search query, based on a first optical character recognition (OCR) operation performed with respect to the text in the first area of the query image and a second OCR operation performed with respect to further text in a second area of the query image, different from the first area of the query image; and provides a first user interface for display to the user, the first user interface comprising the first search results and the suggested search query. The first processing power associated with the first OCR operation is greater than a second processing power associated with the second OCR operation.
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公开(公告)号:US20240330370A1
公开(公告)日:2024-10-03
申请号:US18440527
申请日:2024-02-13
Applicant: INFOSYS LIMITED
Inventor: Steven SCHILDERS , Kaustubh KISHOR MADKE
IPC: G06F16/903 , G06F16/901 , G06F21/60
CPC classification number: G06F16/90335 , G06F16/9024 , G06F21/602
Abstract: A system for executing a search in a dataset is provided. The system includes a storage element that stores a directed property graph derived from the dataset. The directed property graph includes entity vertices corresponding to entities of the dataset, edges corresponding to properties of the entities, and value vertices corresponding to data values of the properties. Each edge couples an entity vertex to a value vertex and includes a label indicating an association therebetween. The system further includes processing circuitry that receives a search query including a reference value. The processing circuitry identifies a value vertex having a data value that is associated with the reference value and generates a response to the search query based on labels of edges coupled to the value vertex, and entities of the dataset represented by entity vertices coupled to the value vertex by way of the edges.
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公开(公告)号:US12106250B2
公开(公告)日:2024-10-01
申请号:US17693691
申请日:2022-03-14
Applicant: PES University
Inventor: Gowri Srinivasa , Chiranth Jawahar , Diya Chandra , Namrata Ramesh
IPC: G06Q10/00 , G06F16/903 , G06Q10/0639 , G06Q50/20
CPC classification number: G06Q10/06393 , G06F16/90335 , G06Q50/2057
Abstract: A skill-gap analysis and recommender system and method is described that serves as a personalized education and skill (PES) map. It provides a comprehensive presentation of the opportunities afforded by the University along with a detailed analysis of trends for placements and career goals. It conducts a comprehensive analysis of past student data and current market trends to make recommendations that are adapted to each student's profile in line with their individual career goals. This is accomplished using an algorithm for adaptive association pattern mining with a built-in mechanism for creation of meta-categories and drill-down for specifics, so as to meet the needs of every student and not miss infrequent patterns or rare opportunities afforded by the system. For the recommendations generated, the system also provides an assessment of the time-sensitivity of a goal and a mechanism for students to track their progress through prioritizing short and long term goals.
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公开(公告)号:US20240303283A1
公开(公告)日:2024-09-12
申请号:US18643429
申请日:2024-04-23
Applicant: Trevor George Thompson
Inventor: Trevor George Thompson
IPC: G06F16/93 , G06F16/903
CPC classification number: G06F16/93 , G06F16/90335
Abstract: The present disclosure relates to a document comparison system (100) for comparing a first document (D1) with a second document (D2). The first document (D1) includes at least a first section having at least one first section entity (CEn), and the second document (D2) includes at least one second document entity (CEn). The document comparison system includes a processor (110) and a memory device (120). The processor is configured to identify the at least one first section entity (CEn) in the first section of the first document (D1). The processor conducts a search of the second document (D2) to identify the presence or absence of one or more second document entity (CEn) corresponding to or equivalent to each first section entity (CEn) identified in the first section. The present disclosure also relates to a dictionary generating system; a document comparison method; a dictionary populating method; and non-transitory computer-readable medium.
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公开(公告)号:US12079281B2
公开(公告)日:2024-09-03
申请号:US17569761
申请日:2022-01-06
Applicant: Genospace, LLC
Inventor: Niall O'Connor , Mickey Alan Correll , Kathryn Hopkins McGill , Luke Connors , Daniel Schlauch
IPC: G06F16/00 , G06F16/901 , G06F16/903 , G06F18/21 , G06N20/00 , G16H20/10 , G16H50/20
CPC classification number: G06F16/90335 , G06F16/9024 , G06F18/217 , G06N20/00 , G16H20/10 , G16H50/20
Abstract: Methods and systems disclosed herein relate generally to generating and using graph models to perform entity-specific mappings to investigatory events. More specifically, data-reliability metrics are used to selectively use proxy nodes in graph-model trajectories during generation of the mappings.
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公开(公告)号:US12079280B2
公开(公告)日:2024-09-03
申请号:US17218734
申请日:2021-03-31
Applicant: Robert Bosch GmbH
Inventor: Bingqing Wang , Zhe Feng
IPC: G06F16/9032 , G06F16/903 , G06F16/9038 , G06N20/00
CPC classification number: G06F16/90332 , G06F16/90335 , G06F16/9038 , G06N20/00
Abstract: A computer-implemented system and method relate to natural language processing. A candidate is selected based on a query. The candidate includes a question and an answer to that question. The candidate is classified as belonging to a class. The class indicates that the candidate is relevant to the query. The class is selected from among a group of classes, which includes at least that class and another class. The another class indicates that the candidate has the answer to the query. Upon classifying the candidate as belonging to the class, a machine learning system is configured to generate a relevant response for the query upon receiving the query and the question as input data. The relevant response provides information associated with a keyword of the question that is not contained in the query.
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