公开(公告)号：US11526369B2

公开(公告)日：2022-12-13

申请号：US16826492

申请日：2020-03-23

申请人： Microsoft Technology Licensing, LLC

发明人： Vipindeep Vangala ,  Swati Valecha ,  Suryanarayana Shastri ,  Nitin Pande ,  Tulasi Menon ,  Madan Gopal Jhanwar ,  Nishchay Kumar

IPC分类号： G06F9/451 ,  G06F16/242 ,  G06F16/2457 ,  G06F3/16

摘要： A computerized personal assistant communicatively couples to a computer database including a plurality of available skills for the computerized personal assistant. The computerized personal assistant recognizes a current context of the user. The computerized personal assistant operates a previously-trained machine learning classifier to assess a match confidence for a candidate skill, the match confidence indicating a quality of match between the current context and a reference context previously associated with the candidate skill. The computerized personal assistant executes instructions defining an assistive action associated with the candidate skill responsive to the match confidence exceeding a predefined match confidence threshold. The computerized personal assistant executes the instructions defining a complementary help action associated with the candidate skill responsive to the match confidence not exceeding the predefined match confidence threshold.

公开(公告)号：US11461339B2

公开(公告)日：2022-10-04

申请号：US17163421

申请日：2021-01-30

申请人： MICROSOFT TECHNOLOGY LICENSING, LLC

发明人： Vipindeep Vangala ,  Ranganath Kondapally ,  Beethika Tripathi ,  Madan Gopal Jhanwar ,  Jimish Bhayani ,  Daraksha Parveen ,  Priyam Bakliwal ,  Pankaj Vasant Khanzode

IPC分类号： G06F16/2457 ,  G06N20/00

摘要： Techniques for extracting and ranking multiple topic descriptions based on source contexts and subsequently selecting individual topic descriptions to surface based on recipient contexts. More specifically, a mining platform may extract, from a set of source documents making up a corpus, topic descriptions for various topics that are relevant to an enterprise. The mining platform may further rank the extracted topic descriptions based on a source context of those documents from which individual topic descriptions are extracted. Subsequently, when users access enterprise documents including term-usage instances of topics for which one or more topic descriptions have been extracted and ranked, a description serving module may select a topic description that is contextually appropriate for a recipient view the enterprise documents.

公开(公告)号：US11874939B2

公开(公告)日：2024-01-16

申请号：US17163420

申请日：2021-01-30

申请人： MICROSOFT TECHNOLOGY LICENSING, LLC

发明人： Vipindeep Vangala ,  Ranganath Kondapally ,  Pankaj Vasant Khanzode ,  Beethika Tripathi ,  Daraksha Parveen ,  Madan Gopal Jhanwar ,  Jimish Bhayani ,  Priyam Bakliwal ,  Jatin Kakkar

IPC分类号： G06F21/62 ,  G06N20/00 ,  G06Q10/101 ,  G06Q10/105

CPC分类号： G06F21/6218 ,  G06N20/00 ,  G06Q10/101 ,  G06Q10/105

摘要： An entity interlinkage platform may receive a corpus of enterprise documents and user profile data that corresponds to an individual user. The entity interlinkage platform utilizes topic extraction models to extract entities from the corpus and further utilizes the user profile data to generate a knowledge graph that includes interlinkages between the extracted entities. The entity interlinkage platform may identify a multitude of topic descriptions and corresponding topic terms from source documents that an access control list permits an individual user to access. Then, based on the user profile data, the entity interlinkage platform may generate a knowledge graph that is tailored for the individual user's specific purposes within the enterprise. For example, the knowledge graph may be generated based on knowledge graph preferences (which may be defined by the individual user) indicating preferred topic description types and/or levels of detail in association with specific topics and/or categories of topics.