Patents by Inventor Sooraj Ashutosh Purandare
Sooraj Ashutosh Purandare 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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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