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公开(公告)号：US11556864B2
公开(公告)日：2023-01-17
申请号：US16674422
申请日：2019-11-05
Applicant: Microsoft Technology Licensing, LLC
Inventor： Yiping Yuan , Ajith Muralidharan , Shaunak Chatterjee , Preetam Nandy , Shipeng Yu , Miao Cheng
Abstract: Methods, systems, and computer programs are presented for scheduling user notifications to maximize short-term and long-term benefits from sending the notifications. One method includes an operation for identifying features of a state used for reinforcement learning. The state is associated with an action to decide if a notification to a user is to be sent and a reward for sending the notification to the user. Further, the method includes capturing user responses to notifications sent to users to obtain training data and training a machine-learning (ML) algorithm with reinforcement learning based on the features and the training data to obtain an ML model. Additionally, the method includes receiving a request to send a notification to the user, and deciding, by the ML model, whether to send the notification based on a current state. The notification is sent to the user based on the decision.
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公开(公告)号：US11537911B2
公开(公告)日：2022-12-27
申请号：US16775620
申请日：2020-01-29
Applicant: Microsoft Technology Licensing, LLC
Inventor： Chun Lo , Emilie De Longueau , Ankan Saha , Shaunak Chatterjee , Ye Tu
Abstract: Techniques for nurturing content creation are provided. In one technique, a particular user is identified. Candidate entities are identified based on one or more attributes of the particular user. For each candidate entity, a feedback sensitivity measure of content creation of the candidate entity is determined. The feedback sensitivity measure is generated based on an amount of feedback, from other users, to content that the candidate entity has created. A score is then generated for the candidate entity based on the measure. A ranking of the candidate entities is determined based on the score of each candidate entity. A subset of the candidate entities is selected based on the ranking. The subset of the candidate entities is transmitted over a computer network to be presented on a computing device of the particular user.
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公开(公告)号：US11321741B2
公开(公告)日：2022-05-03
申请号：US16774090
申请日：2020-01-28
Applicant: Microsoft Technology Licensing, LLC
Inventor： Zhiyuan Xu , Jinyun Yan , Shaunak Chatterjee
Abstract: Techniques for using a machine-learned model to personalize content item density. In one technique, an entity that is associated with a content request is identified. Multiple sets of content items are identified that includes content items of different types. A first position of a first slot is determined in a content item feed that comprises multiple slots. A second position of a previous content item is determined, in the content item feed, that is of a first type. A difference between the first position and the second position is determined. Based on the difference, a gap sensitivity value that is associated with the entity and is different than the difference is determined. Based on the gap sensitivity value, a content item from the multiple sets of content items is selected and inserted into the first slot. The content item feed is transmitted to a computing device to be presented thereon.
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公开(公告)号：US20210295270A1
公开(公告)日：2021-09-23
申请号：US17341687
申请日：2021-06-08
Applicant: Microsoft Technology Licensing, LLC
Inventor： Hongche Liu , Divya Venugopalan , Shaunak Chatterjee
IPC: G06Q10/10 , G06N20/00 , G06F16/901
Abstract: A machine for improving content delivery generates a graph representing a personalized conversational flow for sequenced delivery of digital content. The graph includes nodes representing interactive dialogues between a machine and a user, and edges that connect the nodes. The machine causes display of a user interface including a prompt related to job-seeking guidance. The machine, based on a first action in response to the prompt, dynamically adjusts the graph, the dynamic adjusting including selecting a first node. The machine generates and causes display of a first incentive content item, and a first call-to-action content item. The machine, in response to a second action received in response to the first call-to action content item, dynamically selects an edge connecting the first node and a further node. The dynamic selecting of the edge results in display of a further incentive content item, and a further call-to-action content item.
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公开(公告)号：US20210232942A1
公开(公告)日：2021-07-29
申请号：US16775620
申请日：2020-01-29
Applicant: Microsoft Technology Licensing, LLC
Inventor： Chun Lo , Emilie De Longueau , Ankan Saha , Shaunak Chatterjee , Ye Tu
Abstract: Techniques for nurturing content creation are provided. In one technique, a particular user is identified. Candidate entities are identified based on one or more attributes of the particular user. For each candidate entity, a feedback sensitivity measure of content creation of the candidate entity is determined. The feedback sensitivity measure is generated based on an amount of feedback, from other users, to content that the candidate entity has created. A score is then generated for the candidate entity based on the measure. A ranking of the candidate entities is determined based on the score of each candidate entity. A subset of the candidate entities is selected based on the ranking. The subset of the candidate entities is transmitted over a computer network to be presented on a computing device of the particular user.
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Patent Agency Ranking
公开(公告)号：US11025579B2
公开(公告)日：2021-06-01
申请号：US15967218
申请日：2018-04-30
Applicant: Microsoft Technology Licensing, LLC
Inventor： Guangde Chen , Shipeng Yu , Shaunak Chatterjee , Brad Christopher Ciraulo , Sandor Nyako
IPC: H04L12/58
Abstract: A message spacing system evenly distributes the communication of one or more notifications to a computing device communicatively coupled with an online service. The message spacing system also instructs an application residing on the computing device to display a badge notification. The badge notification indicates a number of pending notifications awaiting review by a member of the online service. The badge notification may be overlaid an icon corresponding to an application that the member uses to access or interact with the online service. The badge notification may also be overlaid on an icon displayed on a webpage, where the icon represents a selectable topic that the member may select to interact with the online service. The notifications that the messaging spacing system may send include offline notifications and online notifications.
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公开(公告)号：US20210133642A1
公开(公告)日：2021-05-06
申请号：US16674422
申请日：2019-11-05
Applicant: Microsoft Technology Licensing, LLC
Inventor： Yiping Yuan , Ajith Muralidharan , Shaunak Chatterjee , Preetam Nandy , Shipeng Yu , Miao Cheng
Abstract: Methods, systems, and computer programs are presented for scheduling user notifications to maximize short-term and long-term benefits from sending the notifications. One method includes an operation for identifying features of a state used for reinforcement learning. The state is associated with an action to decide if a notification to a user is to be sent and a reward for sending the notification to the user. Further, the method includes capturing user responses to notifications sent to users to obtain training data and training a machine-learning (ML) algorithm with reinforcement learning based on the features and the training data to obtain an ML model. Additionally, the method includes receiving a request to send a notification to the user, and deciding, by the ML model, whether to send the notification based on a current state. The notification is sent to the user based on the decision.
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公开(公告)号：US20190392396A1
公开(公告)日：2019-12-26
申请号：US16019359
申请日：2018-06-26
Applicant: Microsoft Technology Licensing, LLC
Inventor： Hongche Liu , Divya Venugopalan , Shaunak Chatterjee
Abstract: A machine for improving content delivery generates a graph representing a personalized conversational flow for sequenced delivery of digital content. The graph includes nodes representing interactive dialogues between a machine and a user, and edges that connect the nodes. The machine causes display of a user interface including a prompt related to job-seeking guidance. The machine, based on a first action in response to the prompt, dynamically adjusts the graph, the dynamic adjusting including selecting a first node. The machine generates and causes display of a first incentive content item, and a first call-to-action content item. The machine, in response to a second action received in response to the first call-to action content item, dynamically selects an edge connecting the first node and a further node. The dynamic selecting of the edge results in display of a further incentive content item, and a further call-to-action content item.
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公开(公告)号：US20190188594A1
公开(公告)日：2019-06-20
申请号：US15884527
申请日：2018-01-31
Applicant: Microsoft Technology Licensing, LLC
Inventor： Yiping Yuan , Lingjie Weng , Rupesh Gupta , Shaunak Chatterjee , Romer E. Rosales-Delmoral
CPC classification number: G06N7/005 , G06F3/0483 , G06N20/00 , H04L67/02 , H04L67/26
Abstract: A method can include determining a first probability that a first member of members of a website will visit the website within a specified time window if the first member is provided an intervention at a specified time, determining a second probability that the first member will visit the website within the specified time window without being provided the intervention, determining a difference between the first and second probability, and in response to determining the difference is greater than a first specified threshold, providing the intervention at the specified time.
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公开(公告)号：US20190182200A1
公开(公告)日：2019-06-13
申请号：US16277133
申请日：2019-02-15
Applicant: Microsoft Technology Licensing, LLC
Inventor： Rishi Jobanputra , Romer E. Rosales-Delmoral , Joshua Daniel Hartman , Shubhanshu Nagar , Ryan Oblak , Cameron Alexander Lee , Hsiao-Ping Tseng , Shaunak Chatterjee , Rupesh Gupta
CPC classification number: H04L51/32 , H04L51/14 , H04L51/26 , H04L67/10 , H04L67/306
Abstract: This disclosure relates to systems and methods for managing multiple messages. In one example, a method includes determining a message transmission frequency threshold for a member of an online social networking service using responses from the member; receiving a message that is to be transmitted to the member; storing the message, without transmitting the message to the member, in a digest of messages for the member; and transmitting the digest to the member in response to a send score for the digest exceeding a send score threshold, the send score calculated using the number of messages in the digest.
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