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公开(公告)号：US20210192421A1
公开(公告)日：2021-06-24
申请号：US16725054
申请日：2019-12-23
摘要： Systems and methods for identifying and verifying skills are provided. A network system accesses data from a plurality of data sources and extracts a plurality of skills from the accessed data for an individual. The network system then assigns a confidence score to each skill of the plurality of skills, whereby the confidence score is based on a heuristically-derived skill level for each skill. The network system generates a unified score for each skill by aggregating confidence scores for a same skill across the plurality of data sources. Based on the unified score for a particular skill exceeding a corresponding skill threshold, the network system identifies the particular skill as a verified skill of the individual and updates a data store with the verified skill of the individual. A further system may then be provided an indication of the verified skill of the individual.
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公开(公告)号：US12050656B2
公开(公告)日：2024-07-30
申请号：US17145554
申请日：2021-01-11
发明人： Vipindeep Vangala , Rajesh Gunda , Rashi Anand , Nishchay Kumar , Sapna Grover
IPC分类号： G06F16/00 , G06F3/0481 , G06F16/9535 , G06F40/279 , G06F40/30 , G06N20/00
CPC分类号： G06F16/9535 , G06F3/0481 , G06F40/279 , G06F40/30 , G06N20/00
摘要： A computing system obtain a keyword and an identifier for a user of a content authoring application. Based upon the keyword and identifier for the user, the computing system walks a user graph comprising nodes connected by edges. The walk comprises identifying seed nodes in the user graph representing at least one topic that corresponds to the keyword and identifying second level nodes in the user graph that are connected to the seed nodes. The second level nodes represent first content that is associated with the user. The computing system transmits contextual data that is based upon the first content to the content authoring application. The contextual data is processed and formatted and is included in second content presentable by the content authoring application. The contextual data may be used to autogenerate the second content without user input. The second content may be modified by the user as desired.
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公开(公告)号：US12080090B2
公开(公告)日：2024-09-03
申请号：US17552723
申请日：2021-12-16
发明人： Jatin Kakkar , Beethika Tripathi , Rashi Anand , Pankaj Khanzode , Neha Singh , Daraksha Parveen , Gangula Rama Rohit Reddy , Rishabh Malhotra
IPC分类号： G06V30/416 , G06F9/54 , G06F40/279
CPC分类号： G06V30/416 , G06F9/542 , G06F40/279
摘要： A computing system obtains a document that includes text. The computing system identifies a fact referenced in the text of the document, where the fact includes a fact name and a fact value. The computing system determines a topic of the document based upon the text of the document. The computing system identifies a factoid stored in a data store based upon the topic and the fact name, where the factoid includes the fact name and a second fact value, and further where the factoid has been generated based upon second text of a second document. While the document is being displayed to a user, the computing system causes a message to be displayed to the user, where the message prompts the user to accept or reject replacement of the fact value in the document with the second fact value.
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公开(公告)号：US20190294976A1
公开(公告)日：2019-09-26
申请号：US15933017
申请日：2018-03-22
发明人： Vipindeep Vangala , Ankur Hayatnagarkar , Sravanth Venkata Madhu Kurumaddali , Rashi Anand , Nitin Pande , Deepinder Singh Gill
摘要： A graph data structure for an artificial intelligence knowledge base includes a plurality of user-centric facts associated with a user. Each user-centric fact has an application-agnostic data format and includes a subject graph node, an object graph node, and an edge connecting the subject graph node to the object graph node. The graph data structure is designed to accommodate facts from different application-specific data providers using the same application-agnostic data format even when the different application-specific data providers use different native data formats.
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公开(公告)号：US11687794B2
公开(公告)日：2023-06-27
申请号：US15933017
申请日：2018-03-22
发明人： Vipindeep Vangala , Ankur Hayatnagarkar , Sravanth Venkata Madhu Kurumaddali , Rashi Anand , Nitin Pande , Deepinder Singh Gill
IPC分类号： G06N5/022 , G06F21/62 , G06F16/901 , G06F16/2453 , G06N3/04
CPC分类号： G06N5/022 , G06F16/24539 , G06F16/9024 , G06F21/6209 , G06N3/04
摘要： A graph data structure for an artificial intelligence knowledge base includes a plurality of user-centric facts associated with a user. Each user-centric fact has an application-agnostic data format and includes a subject graph node, an object graph node, and an edge connecting the subject graph node to the object graph node. The graph data structure is designed to accommodate facts from different application-specific data providers using the same application-agnostic data format even when the different application-specific data providers use different native data formats.
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公开(公告)号：US20190342401A1
公开(公告)日：2019-11-07
申请号：US15967691
申请日：2018-05-01
IPC分类号： H04L29/08
摘要： Techniques for providing a recommendation engine for personal digital assistant functionality on hardware devices. In an aspect, sensor data and other signals for a user are collected and processed to extract user patterns. A user profile is further constructed using machine learning techniques. The insights obtained from the user patterns and user profile are combined by digital service routines to generate customized recommendations for users. In a further aspect, user feedback may be utilized to improve the accuracy and relevance of the recommendations.
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