Patents by Inventor Payal Bajaj
Payal Bajaj 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: 11443389Abstract: Techniques and systems for determining paywall metrics are described. In an implementation, a candidate paywall metric is created that corresponds to an increased propensity of users to engage in a paid transaction when exposed to a paywall. In this way, providers of digital content may increase the proportion of users that perform a transaction when exposed to the paywall.Type: GrantFiled: August 25, 2020Date of Patent: September 13, 2022Assignee: Adobe Inc.Inventors: Gaurush Hiranandani, Tanya Goyal, Sumit Shekhar, Payal Bajaj
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Patent number: 11250038Abstract: An interactive question and answer (Q&A) service provides pairs of questions and corresponding answers related to the content of a web page. The service includes pre-configured Q&A pairs derived from a deep learning framework that includes a series of neural networks trained through joint and transfer learning to generate questions for a given text passage. In addition, pre-configured Q&A pairs are generated from historical web access patterns and sources related to the content of the web page.Type: GrantFiled: August 13, 2018Date of Patent: February 15, 2022Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC.Inventors: Payal Bajaj, Gearard Boland, Anshul Gupta, Matthew Glenn Jin, Eduardo Enrique Noriega De Armas, Jason Shaver, Neelakantan Sundaresan, Roshanak Zilouchian Moghaddam
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Patent number: 11049142Abstract: In some embodiments, a computing system determines, based on stored user information retrieved from a mobile user device and associated with a particular user, a location-specific affinity of the particular user for a product at a particular geographical location. The location-specific affinity indicates an interest of the particular user in the product that increases when the particular user is positioned at the particular geographical location. The computing system designs a geo-fence targeted to the particular user based on the location-specific affinity, where messages are transmitted to the mobile user device if the particular user is within a boundary of the geo-fence. The geo-fence defines a geographical area that includes the particular geographical location and that is associated with a provider of the product. The computing system causes a telecommunication server to transmit the message to the user device when the user device is positioned within the designed geo-fence.Type: GrantFiled: February 16, 2017Date of Patent: June 29, 2021Assignee: ADOBE INC.Inventors: Ankur Garg, Sweta Agrawal, Shubham Agrawal, Payal Bajaj, Abhishek Kedia
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Publication number: 20200387979Abstract: Techniques and systems for determining paywall metrics are described. In an implementation, a candidate paywall metric is created that corresponds to an increased propensity of users to engage in a paid transaction when exposed to a paywall. In this way, providers of digital content may increase the proportion of users that perform a transaction when exposed to the paywall.Type: ApplicationFiled: August 25, 2020Publication date: December 10, 2020Applicant: Adobe Inc.Inventors: Gaurush Hiranandani, Tanya Goyal, Sumit Shekhar, Payal Bajaj
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Patent number: 10853887Abstract: Techniques and systems for determining paywall metrics are described. In an implementation, a candidate paywall metric is created that corresponds to an increased propensity of users to engage in a paid transaction when exposed to a paywall. In this way, providers of digital content may increase the proportion of users that perform a transaction when exposed to the paywall.Type: GrantFiled: September 27, 2016Date of Patent: December 1, 2020Assignee: Adobe Inc.Inventors: Gaurush Hiranandani, Tanya Goyal, Sumit Shekhar, Payal Bajaj
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Patent number: 10733247Abstract: Disclosed are various embodiments for automatically creating on a computer analytics tags for different object types of website objects in web pages with analytics tracking capability in a dynamic tag management system. In one implementation, user input is received identifying a website object for tagging in the web pages and keywords are identified based on the user input. Based on the keywords, multiple occurrences of the website object in the web are identified, wherein the multiple occurrences of the website object correspond to multiple object types. The computer automatically creates analytics tags for the website object corresponding to object types. Based on the website object, an expansion object is identified and the computer automatically creates an analytics tag for the expansion object.Type: GrantFiled: February 18, 2016Date of Patent: August 4, 2020Assignee: Adobe Inc.Inventors: Payal Bajaj, Niyati Chhaya, Harsh Jhamtani, Shriram Venkatesh Shet Revankar, Anandhavelu N
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Patent number: 10638176Abstract: Multiple channels of audio/video (A/V) content in a system are available to users. A channel scoring system uses a user's channel watching behavior and channel browsing behavior to generate a channel preference score for various different channels in the system. The channel watching behavior refers to which channels the user watches. The channel browsing behavior refers to features describing the user's behavior when watching A/V content provided by a channel. Examples of these features include the hour of the day when the user watches the A/V content, the number and length of A/V content provided by the channel watched in a session, device preferences of the user, and so forth. Various actions can be taken based on the generated channel preference scores, such as recommending or otherwise promoting channels to the user.Type: GrantFiled: October 29, 2015Date of Patent: April 28, 2020Assignee: Adobe Inc.Inventors: Sumit Shekhar, Payal Bajaj, Balaji Vasan Srinivasan
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Patent number: 10601953Abstract: Various embodiments disambiguate users who share media content accounts to provide persona-based experience individualization. Personas correspond to commonly observed channel watching patterns among media content customers. Decomposition of the media content account into personas is achieved by analyzing many accounts, e.g., millions of accounts, on media content platforms. By analyzing accounts, a recommendation system can individualize the channel watching experience in media content accounts.Type: GrantFiled: September 22, 2016Date of Patent: March 24, 2020Assignee: Adobe Inc.Inventors: Payal Bajaj, Sumit Shekhar, Lakshmi Shivalingaiah, George Horia Galatanu
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Publication number: 20190228099Abstract: An interactive question and answer (Q&A) service provides pairs of questions and corresponding answers related to the content of a web page. The service includes pre-configured Q&A pairs derived from a deep learning framework that includes a series of neural networks trained through joint and transfer learning to generate questions for a given text passage. In addition, pre-configured Q&A pairs are generated from historical web access patterns and sources related to the content of the web page.Type: ApplicationFiled: August 13, 2018Publication date: July 25, 2019Inventors: PAYAL BAJAJ, GEARARD BOLAND, ANSHUL GUPTA, MATTHEW GLENN JIN, EDUARDO ENRIQUE NORIEGA DE ARMAS, JASON SHAVER, NEELAKANTAN SUNDARESAN, ROSHANAK ZILOUCHIAN MOGHADDAM
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Patent number: 10296635Abstract: Techniques and systems for auditing and augmenting user-generated tags for digital content are described. A corpus is generated for each tag associated with digital content to represent different aspects of the tag's definition. A hierarchy of semantic relationships between the tags is created based a corpus co-occurrence between the tags to relate at least two tags having different levels of specificity. Some of the tags are verified with the digital content based on feature detection, and a correspondence to the digital content is determined for each verified tag. The correspondence of the verified tags is then propagated up the hierarchy to others of the tags that are semantically related to the verified tags but which were not verified by the feature detection. The verified tags and the verified other tags are then assigned to the digital content to control how the digital content is retrieved when subject to a search.Type: GrantFiled: January 21, 2016Date of Patent: May 21, 2019Assignee: Adobe Inc.Inventors: Payal Bajaj, Shriram V S Revankar, Priyanshu Srivastava, Ponnurangam Kumaraguru, Mridul Kavidayal, Md. Nadeem Akhtar
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Publication number: 20180349954Abstract: Rules for triggering geo-notifications, such as push notifications to a mobile computing device based on its location, are automatically generated based on a user's location, dwell time, and browsing activity. In some embodiments, a geo-fence communication system determines an average dwell time for a group of users in a user segment. The average dwell time indicates an average time for each user to respond to a geo-notification for a product, within a geo-fence. The geo-fence communication system generates a rule for the user segment/product/geo-fence tuple based on the average dwell time. In some cases, semantic similarities between geo-fence locations are determined, and a rule for a geo-fence is generated based on average dwell times for other geo-fences in similar locations.Type: ApplicationFiled: June 6, 2017Publication date: December 6, 2018Inventors: Sanket Vaibhav Mehta, Payal Bajaj, Ankur Garg, Sunav Choudhary
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Publication number: 20180232767Abstract: In some embodiments, a computing system determines, based on stored user information retrieved from a mobile user device and associated with a particular user, a location-specific affinity of the particular user for a product at a particular geographical location. The location-specific affinity indicates an interest of the particular user in the product that increases when the particular user is positioned at the particular geographical location. The computing system designs a geo-fence targeted to the particular user based on the location-specific affinity, where messages are transmitted to the mobile user device if the particular user is within a boundary of the geo-fence. The geo-fence defines a geographical area that includes the particular geographical location and that is associated with a provider of the product. The computing system causes a telecommunication server to transmit the message to the user device when the user device is positioned within the designed geo-fence.Type: ApplicationFiled: February 16, 2017Publication date: August 16, 2018Inventors: Ankur Garg, Sweta Agrawal, Shubham Agrawal, Payal Bajaj, Abhishek Kedia
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Publication number: 20180165708Abstract: Techniques and systems are described to control output of a notification by a marketing system based on a prediction of location, activity, and/or time. In one example, selection of a notification from a plurality of notifications by the notification system is based on a series of activities performed by a user over time at respective locations with respect to an item of digital content. Based on this series of activities, a prediction is made by the notification system as to a likely location, activity, and even time at which a future activity is likely to be performed by the user. This prediction is then used by the notification system as a basis to control which notification is to be output by a computing device of the user.Type: ApplicationFiled: December 9, 2016Publication date: June 14, 2018Applicant: Adobe Systems IncorporatedInventors: Payal Bajaj, Sanket Vaibhav Mehta, Tanya Goyal, Kokil Jaidka
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Publication number: 20180089652Abstract: Techniques and systems for determining paywall metrics are described. In an implementation, a candidate paywall metric is created that corresponds to an increased propensity of users to engage in a paid transaction when exposed to a paywall. In this way, providers of digital content may increase the proportion of users that perform a transaction when exposed to the paywall.Type: ApplicationFiled: September 27, 2016Publication date: March 29, 2018Applicant: Adobe Systems IncorporatedInventors: Gaurush Hiranandani, Tanya Goyal, Sumit Shekhar, Payal Bajaj
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Publication number: 20180084080Abstract: Various embodiments disambiguate users who share media content accounts to provide persona-based experience individualization. Personas correspond to commonly observed channel watching patterns among media content customers. Decomposition of the media content account into personas is achieved by analyzing many accounts, e.g., millions of accounts, on media content platforms. By analyzing accounts, a recommendation system can individualize the channel watching experience in media content accounts.Type: ApplicationFiled: September 22, 2016Publication date: March 22, 2018Applicant: Adobe Systems IncorporatedInventors: Payal Bajaj, Sumit Shekhar, Lakshmi Shivalingaiah, George Horia Galatanu
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Patent number: 9838843Abstract: The present disclosure is directed toward systems and method for generating geo-fences having boundaries around geographic regions of interest based on historical activity data of a user application on a plurality of client devices. For example, systems and methods described herein involve tracking activity data to identify instances of an application activity associated with an action to promote and identify locations where users more frequently perform the application activity. In addition, systems and methods described herein involve tracking activity data over time to determine geographic regions of interest at different time periods where users more frequently perform application activities. Further, systems and methods described herein involve generating geo-fences around one or more geographic regions of interest.Type: GrantFiled: October 13, 2016Date of Patent: December 5, 2017Assignee: ADOBE SYSTEMS INCORPORATEDInventors: Payal Bajaj, Sanket Vaibhav Mehta, Tanya Goyal, Shriram Venkatesh Shet Revankar
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Publication number: 20170243234Abstract: Disclosed are various embodiments for automatically creating on a computer analytics tags for different object types of website objects in web pages with analytics tracking capability in a dynamic tag management system. In one implementation, user input is received identifying a website object for tagging in the web pages and keywords are identified based on the user input. Based on the keywords, multiple occurrences of the website object in the web are identified, wherein the multiple occurrences of the website object correspond to multiple object types. The computer automatically creates analytics tags for the website object corresponding to object types. Based on the website object, an expansion object is identified and the computer automatically creates an analytics tag for the expansion object.Type: ApplicationFiled: February 18, 2016Publication date: August 24, 2017Inventors: PAYAL BAJAJ, NIYATI CHHAYA, HARSH JHAMTANI, SHRIRAM VENKATESH SHET REVANKAR, ANANDHAVELU N
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Publication number: 20170212949Abstract: Techniques and systems for auditing and augmenting user-generated tags for digital content are described. A corpus is generated for each tag associated with digital content to represent different aspects of the tag's definition. A hierarchy of semantic relationships between the tags is created based a corpus co-occurrence between the tags to relate at least two tags having different levels of specificity. Some of the tags are verified with the digital content based on feature detection, and a correspondence to the digital content is determined for each verified tag. The correspondence of the verified tags is then propagated up the hierarchy to others of the tags that are semantically related to the verified tags but which were not verified by the feature detection. The verified tags and the verified other tags are then assigned to the digital content to control how the digital content is retrieved when subject to a search.Type: ApplicationFiled: January 21, 2016Publication date: July 27, 2017Inventors: Payal Bajaj, Shriram V S Revankar, Priyanshu Srivastava, Ponnurangam Kumaraguru, Mridul Kavidayal, Md. Nadeem Akhtar
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Publication number: 20170127132Abstract: Multiple channels of audio/video (A/V) content in a system are available to users. A channel scoring system uses a user's channel watching behavior and channel browsing behavior to generate a channel preference score for various different channels in the system. The channel watching behavior refers to which channels the user watches. The channel browsing behavior refers to features describing the user's behavior when watching A/V content provided by a channel. Examples of these features include the hour of the day when the user watches the A/V content, the number and length of A/V content provided by the channel watched in a session, device preferences of the user, and so forth. Various actions can be taken based on the generated channel preference scores, such as recommending or otherwise promoting channels to the user.Type: ApplicationFiled: October 29, 2015Publication date: May 4, 2017Inventors: Sumit Shekhar, Payal Bajaj, Balaji Vasan Srinivasan