Patents by Inventor Nandeesh Channabasappa Rajashekar
Nandeesh Channabasappa Rajashekar 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: 11334714Abstract: Techniques for generating diverse smart replies using a synonym hierarchy are disclosed herein. A computer system may detect that a first set of one or more messages having first content has been transmitted from a first computing device of a first user to a second computing device of a second user, determine a plurality of candidate replies based on the first content of the first set of one or more messages, and then select a plurality of smart replies from the plurality of candidate replies using a hierarchical graph data structure and at least one diversity rule. The selecting of the plurality of smart replies comprises omitting at least one of the plurality of candidate replies from selection based on the at least one diversity rule, which limits a number of the plurality of smart replies that have a common parent node.Type: GrantFiled: June 21, 2021Date of Patent: May 17, 2022Assignee: Microsoft Technology Licensing, LLCInventors: Jeffrey William Pasternack, Arpit Dhariwal, Bing Zhao, Nimesh Madhavan Chakravarthi, Nandeesh Channabasappa Rajashekar
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Publication number: 20210312126Abstract: Techniques for generating diverse smart replies using a synonym hierarchy are disclosed herein. A computer system may detect that a first set of one or more messages having first content has been transmitted from a first computing device of a first user to a second computing device of a second user, determine a plurality of candidate replies based on the first content of the first set of one or more messages, and then select a plurality of smart replies from the plurality of candidate replies using a hierarchical graph data structure and at least one diversity rule. The selecting of the plurality of smart replies comprises omitting at least one of the plurality of candidate replies from selection based on the at least one diversity rule, which limits a number of the plurality of smart replies that have a common parent node.Type: ApplicationFiled: June 21, 2021Publication date: October 7, 2021Inventors: Jeffrey William Pasternack, Arpit Dhariwal, Bing Zhao, Nimesh Madhavan Chakravarthi, Nandeesh Channabasappa Rajashekar
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Patent number: 11062084Abstract: Techniques for generating diverse smart replies using a synonym hierarchy are disclosed herein. A computer system may detect that a first set of one or more messages having first content has been transmitted from a first computing device of a first user to a second computing device of a second user, determine a plurality of candidate replies based on the first content of the first set of one or more messages, and then select a plurality of smart replies from the plurality of candidate replies using a hierarchical graph data structure and at least one diversity rule. The selecting of the plurality of smart replies comprises omitting at least one of the plurality of candidate replies from selection based on the at least one diversity rule, which limits a number of the plurality of smart replies that have a common parent node.Type: GrantFiled: June 27, 2018Date of Patent: July 13, 2021Assignee: Microsoft Technology Licensing, LLCInventors: Jeffrey William Pasternack, Arpit Dhariwal, Bing Zhao, Nimesh Madhavan Chakravarthi, Nandeesh Channabasappa Rajashekar
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Patent number: 10721190Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for a sequence to sequence to classification model for generating recommended messages. A messaging system generates, using a sequence to sequence encoder, an embedding vector from a message being transmitted as part of a communication session, the sequence to sequence encoder having been trained based on historical message data that includes messages transmitted between users of the messaging system. The messaging system determines, based on the embedding vector, a set of candidate responses for replying to the first message, the set of candidate responses being a subset of a set of available responses. The messaging system selects, from the set of candidate responses, a set of recommended responses to the first message, and causes the set of recommended responses to be presented by a client device of a recipient user of the first message.Type: GrantFiled: July 31, 2018Date of Patent: July 21, 2020Assignee: Microsoft Technology Licensing, LLCInventors: Bing Zhao, Jeffrey William Pasternack, Nandeesh Channabasappa Rajashekar, Nimesh Madhavan Chakravarthi, Chung Yu Wang, Arpit Dhariwal
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Patent number: 10680978Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for generating recommended responses based on historical data. A messaging system receives a message as part of a communication session between a first client device and a second client device. The message originated from the first client device. The messaging system determines, using the message as input in a statistical model, a set of candidate responses for replying to the message. The statistical model was generated based on historical message data transmitted as part of previous communication sessions between a plurality of client devices. The set of candidate responses is a subset of a set of available candidate responses. The messaging system determines, based on a set of candidate selection rules, a subset of the candidate responses yielding a set of recommended responses to the message, and causes the set of recommended responses to be presented on the second client device.Type: GrantFiled: January 31, 2018Date of Patent: June 9, 2020Assignee: Microsoft Technology Licensing, LLCInventors: Adam Leon, Nandeesh Channabasappa Rajashekar, Nimesh Chakravarthi, Jeffrey William Pasternack, Birjodh Tiwana, Arpit Dhariwal, Bing Zhao
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Publication number: 20200044990Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for a sequence to sequence to classification model for generating recommended messages. A messaging system generates, using a sequence to sequence encoder, an embedding vector from a message being transmitted as part of a communication session, the sequence to sequence encoder having been trained based on historical message data that includes messages transmitted between users of the messaging system. The messaging system determines, based on the embedding vector, a set of candidate responses for replying to the first message, the set of candidate responses being a subset of a set of available responses. The messaging system selects, from the set of candidate responses, a set of recommended responses to the first message, and causes the set of recommended responses to be presented by a client device of a recipient user of the first message.Type: ApplicationFiled: July 31, 2018Publication date: February 6, 2020Inventors: Bing Zhao, Jeffrey William Pasternack, Nandeesh Channabasappa Rajashekar, Nimesh Madhavan Chakravarthi, Chung Yu Wang, Arpit Dhariwal
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Publication number: 20200004825Abstract: Techniques for generating diverse smart replies using a synonym hierarchy are disclosed herein. A computer system may detect that a first set of one or more messages having first content has been transmitted from a first computing device of a first user to a second computing device of a second user, determine a plurality of candidate replies based on the first content of the first set of one or more messages, and then select a plurality of smart replies from the plurality of candidate replies using a hierarchical graph data structure and at least one diversity rule. The selecting of the plurality of smart replies comprises omitting at least one of the plurality of candidate replies from selection based on the at least one diversity rule, which limits a number of the plurality of smart replies that have a common parent node.Type: ApplicationFiled: June 27, 2018Publication date: January 2, 2020Inventors: Jeffrey William Pasternack, Arpit Dhariwal, Bing Zhao, Nimesh Madhavan Chakravarthi, Nandeesh Channabasappa Rajashekar
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Publication number: 20190124019Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for generating recommended responses based on historical data. A messaging system receives a message as part of a communication session between a first client device and a second client device. The message originated from the first client device. The messaging system determines, using the message as input in a statistical model, a set of candidate responses for replying to the message. The statistical model was generated based on historical message data transmitted as part of previous communication sessions between a plurality of client devices. The set of candidate responses is a subset of a set of available candidate responses. The messaging system determines, based on a set of candidate selection rules, a subset of the candidate responses yielding a set of recommended responses to the message, and causes the set of recommended responses to be presented on the second client device.Type: ApplicationFiled: January 31, 2018Publication date: April 25, 2019Inventors: Adam Leon, Nandeesh Channabasappa Rajashekar, Nimesh Chakravarthi, Jeffrey William Pasternack, Birjodh Tiwana, Arpit Dhariwal, Bing Zhao