Patents by Inventor Janet Longhurst
Janet Longhurst has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11803704Abstract: Techniques are described herein that are capable of intelligently updating a collaboration site or a template that may be used to create a new collaboration site. The collaboration site or the template may be updated to include new features based on (e.g., based at least in part on) a likelihood that the new features will be valuable to users. The likelihood that new features will be valuable to the users may be determined (e.g., derived) using heuristics, machine learning, intelligent user experiences, and/or an understanding of user behavior gathered by a service that provides the collaboration site or the template. The likelihood may be compared to a likelihood threshold to determine whether the collaboration site or the template is to be updated. In accordance with this example, the update may be made if the likelihood is greater than or equal to the likelihood threshold.Type: GrantFiled: December 13, 2020Date of Patent: October 31, 2023Assignee: Microsoft Technology Licensing, LLCInventors: Sooraj Ashutosh Purandare, Janet Longhurst, Tejas Pravin Mehta, Wenvi Hidayat, John L Demaris, Dieter P. Jansen, Mary Ellen Arndt
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Patent number: 11438227Abstract: Techniques are described herein that are capable of iteratively updating a collaboration site or a template that may be used to create a new collaboration site. The collaboration site or the template may be updated to include new features based on (e.g., based at least in part on) a likelihood that the new features will be valuable to users. The likelihood that new features will be valuable to the users may be determined (e.g., derived) using heuristics, machine learning, intelligent user experiences, and/or an understanding of user behavior gathered by a service that provides the collaboration site or the template. The likelihood may be compared to a likelihood threshold to determine whether the collaboration site or the template is to be updated. In accordance with this example, the update may be made if the likelihood is greater than or equal to the likelihood threshold.Type: GrantFiled: August 6, 2020Date of Patent: September 6, 2022Assignee: Microsoft Technology Licensing, LLCInventors: Sooraj Ashutosh Purandare, Janet Longhurst, Tejas Pravin Mehta, Wenvi Hidayat, John L. DeMaris, Dieter P. Jansen, Mary Ellen Arndt
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Publication number: 20210097233Abstract: Techniques are described herein that are capable of intelligently updating a collaboration site or a template that may be used to create a new collaboration site. The collaboration site or the template may be updated to include new features based on (e.g., based at least in part on) a likelihood that the new features will be valuable to users. The likelihood that new features will be valuable to the users may be determined (e.g., derived) using heuristics, machine learning, intelligent user experiences, and/or an understanding of user behavior gathered by a service that provides the collaboration site or the template. The likelihood may be compared to a likelihood threshold to determine whether the collaboration site or the template is to be updated. In accordance with this example, the update may be made if the likelihood is greater than or equal to the likelihood threshold.Type: ApplicationFiled: December 13, 2020Publication date: April 1, 2021Inventors: Sooraj Ashutosh PURANDARE, Janet LONGHURST, Tejas Pravin MEHTA, Wenvi HIDAYAT, John L. DEMARIS, Dieter P. JANSEN, Mary Ellen ARNDT
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Patent number: 10867128Abstract: Techniques are described herein that are capable of intelligently updating a collaboration site or a template that may be used to create a new collaboration site. The collaboration site or the template may be updated to include new features based on (e.g., based at least in part on) a likelihood that the new features will be valuable to users. The likelihood that new features will be valuable to the users may be determined (e.g., derived) using heuristics, machine learning, intelligent user experiences, and/or an understanding of user behavior gathered by a service that provides the collaboration site or the template. The likelihood may be compared to a likelihood threshold to determine whether the collaboration site or the template is to be updated. In accordance with this example, the update may be made if the likelihood is greater than or equal to the likelihood threshold.Type: GrantFiled: September 12, 2017Date of Patent: December 15, 2020Assignee: Microsoft Technology Licensing, LLCInventors: Sooraj Ashutosh Purandare, Janet Longhurst, Tejas Pravin Mehta, Wenvi Hidayat, John L. DeMaris, Dieter P. Jansen, Mary Ellen Arndt
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Publication number: 20200374185Abstract: Techniques are described herein that are capable of iteratively updating a collaboration site or a template that may be used to create a new collaboration site. The collaboration site or the template may be updated to include new features based on (e.g., based at least in part on) a likelihood that the new features will be valuable to users. The likelihood that new features will be valuable to the users may be determined (e.g., derived) using heuristics, machine learning, intelligent user experiences, and/or an understanding of user behavior gathered by a service that provides the collaboration site or the template. The likelihood may be compared to a likelihood threshold to determine whether the collaboration site or the template is to be updated. In accordance with this example, the update may be made if the likelihood is greater than or equal to the likelihood threshold.Type: ApplicationFiled: August 6, 2020Publication date: November 26, 2020Inventors: Sooraj Ashutosh Purandare, Janet Longhurst, Tejas Pravin Mehta, Wenvi Hidayat, John L. DeMaris, Dieter P. Jansen, Mary Ellen Arndt
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Patent number: 10742500Abstract: Techniques are described herein that are capable of iteratively updating a collaboration site or a template that may be used to create a new collaboration site. The collaboration site or the template may be updated to include new features based on (e.g., based at least in part on) a likelihood that the new features will be valuable to users. The likelihood that new features will be valuable to the users may be determined (e.g., derived) using heuristics, machine learning, intelligent user experiences, and/or an understanding of user behavior gathered by a service that provides the collaboration site or the template. The likelihood may be compared to a likelihood threshold to determine whether the collaboration site or the template is to be updated. In accordance with this example, the update may be made if the likelihood is greater than or equal to the likelihood threshold.Type: GrantFiled: September 20, 2017Date of Patent: August 11, 2020Assignee: Microsoft Technology Licensing, LLCInventors: Sooraj Ashutosh Purandare, Janet Longhurst, Tejas Pravin Mehta, Wenvi Hidayat, John L. DeMaris, Dieter P. Jansen, Mary Ellen Arndt
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Patent number: 10540620Abstract: In one example, an activity feed server may describe events in a project by collecting events from across multiple services into an activity feed personalized to the user. The activity feed server may store an event set describing activities related to the project. The activity feed server may rank a mature event set from the event set of events older than a period matching a processing delay based on a relevance weighting for a user to generate a curated event list. The activity feed server may queue a recent event set of events younger than the processing delay in chronological order to generate a recent event list. The activity feed server may generate an event list having the curated event list and the recent event list. The activity feed server may send the activity feed having the event list to a client device for presentation to the user.Type: GrantFiled: May 25, 2017Date of Patent: January 21, 2020Assignee: Microsoft Technology Licensing, LLCInventors: Melissa Torres, John DeMaris, Janet Longhurst, Yimin Wu, Jeremy Mazner, Dmitriy Meyerzon, Nicholas Anthony Buelich, II, Nikita Voronkov, Adam Ford
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Publication number: 20190089581Abstract: Techniques are described herein that are capable of iteratively updating a collaboration site or a template that may be used to create a new collaboration site. The collaboration site or the template may be updated to include new features based on (e.g., based at least in part on) a likelihood that the new features will be valuable to users. The likelihood that new features will be valuable to the users may be determined (e.g., derived) using heuristics, machine learning, intelligent user experiences, and/or an understanding of user behavior gathered by a service that provides the collaboration site or the template. The likelihood may be compared to a likelihood threshold to determine whether the collaboration site or the template is to be updated. In accordance with this example, the update may be made if the likelihood is greater than or equal to the likelihood threshold.Type: ApplicationFiled: September 20, 2017Publication date: March 21, 2019Inventors: Sooraj Ashutosh Purandare, Janet Longhurst, Tejas Pravin Mehta, Wenvi Hidayat, John L. DeMaris, Dieter P. Jansen, Mary Ellen Arndt
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Publication number: 20190079909Abstract: Techniques are described herein that are capable of intelligently updating a collaboration site or a template that may be used to create a new collaboration site. The collaboration site or the template may be updated to include new features based on (e.g., based at least in part on) a likelihood that the new features will be valuable to users. The likelihood that new features will be valuable to the users may be determined (e.g., derived) using heuristics, machine learning, intelligent user experiences, and/or an understanding of user behavior gathered by a service that provides the collaboration site or the template. The likelihood may be compared to a likelihood threshold to determine whether the collaboration site or the template is to be updated. In accordance with this example, the update may be made if the likelihood is greater than or equal to the likelihood threshold.Type: ApplicationFiled: September 12, 2017Publication date: March 14, 2019Inventors: Sooraj Ashutosh Purandare, Janet Longhurst, Tejas Pravin Mehta, Wenvi Hidayat, John L. DeMaris, Dieter P. Jansen, Mary Ellen Arndt
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Publication number: 20180121849Abstract: In one example, an activity feed server may describe events in a project by collecting events from across multiple services into an activity feed personalized to the user. The activity feed server may store an event set describing activities related to the project. The activity feed server may rank a mature event set from the event set of events older than a period matching a processing delay based on a relevance weighting for a user to generate a curated event list. The activity feed server may queue a recent event set of events younger than the processing delay in chronological order to generate a recent event list. The activity feed server may generate an event list having the curated event list and the recent event list. The activity feed server may send the activity feed having the event list to a client device for presentation to the user.Type: ApplicationFiled: May 25, 2017Publication date: May 3, 2018Applicant: Microsoft Technology Licensing, LLCInventors: Melissa Torres, John DeMaris, Janet Longhurst, Yimin Wu, Jeremy Mazner, Dmitriy Meyerzon, Nicholas Anthony Buelich, II, Nikita Voronkov, Adam Ford