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公开(公告)号:US11436566B2
公开(公告)日:2022-09-06
申请号:US15663492
申请日:2017-07-28
发明人: Sammy Shreibati , Vivian Mak Urata , Mark Hull , Haiyang Liu , Birjodh Tiwana , Siva Visakan Sooriyan , Jesse Jyh-Cherng Hsia , Michael Joshua Aft , Kinjal Basu , Shaunak Chatterjee
摘要: Described herein is a contextual contact recommendation or suggestion service and system. The service, which, in some embodiments, is integrated with a social networking service and/or an instant messaging service, takes as input a first parameter that identifies a member of the social networking service, and a second parameter that defines a context (e.g., a web page that is being viewed by the member. The service, based in part on the context, computes a ranked list of members to populate a contextual contact list, thereby recommending or suggesting contacts, with whom the member might be interested in initiating, or continuing, a conversation, based on the context of the member's current web browsing session. Optionally, the service may take as input a third parameter, defining a use case, such that the recommendation algorithm can be customized by use case.
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公开(公告)号:US20220092703A1
公开(公告)日:2022-03-24
申请号:US17028672
申请日:2020-09-22
发明人: Aastha Nigam , Ye Tu , Shaunak Chatterjee
IPC分类号: G06Q50/00 , G06Q30/02 , G06F16/2457 , G06F16/248
摘要: Systems and methods for engagement mapping based on counterfactual experiments are provided. In example embodiments, a network system receives parameters for one or more counterfactual experiments or tests. Based on the parameters, the network system selects one or more users of a social network platform to subject to the test(s) and selects edges of a social network of each of the one or more users to block. The network system then filters out notifications and feed items from the selected edges of the one or more users. Behavior data of the one or more users based on the filtering out of the notifications and feed items is aggregated, whereby the behavior data indicates engagement of the one or more users on the social networking platform based on the filtering of the notifications and feed items. Recommendations are derived based on the aggregated behavior data and presented to the users.
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公开(公告)号:US11263704B2
公开(公告)日:2022-03-01
申请号:US15400738
申请日:2017-01-06
发明人: Shaunak Chatterjee , Ankan Saha , Kinjal Basu
摘要: A system, a machine-readable storage medium storing instructions, and a computer-implemented method are described herein are directed to a Content Optimization Engine that determines a display probability for each content item in a set of content items. Each respective display probability corresponds to a given content item's probability of display in a specific content slot of a plurality of content slots in a social network feed of a target member account in a social network service. The Content Optimization Engine calculates a selection probability for each content item in an ordered set of the content items, based on each display probability and a set of interaction effects. The Content Optimization Engine causes display of the ordered set of content items in the target member account's social network feed based on satisfaction of the first and second targets.
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公开(公告)号:US11055668B2
公开(公告)日:2021-07-06
申请号:US16019359
申请日:2018-06-26
IPC分类号: G06Q10/10 , G06N20/00 , G06F16/901
摘要: 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:US10936683B2
公开(公告)日:2021-03-02
申请号:US15821663
申请日:2017-11-22
发明人: Pratik Daga , Kinjal Basu , Matthew Hsing Hung Walker , Yiping Yuan , Varun Bharill , Guanchao Wang , Shipeng Yu , Shaunak Chatterjee , Sowmitra Thallapragada , Manoj Sivakumar
摘要: A unified notification platform for offline creation and distribution of notification content from a variety of data sources is described. The notification platform provides data adaptors that are reusable for generating notifications of different types, specifically, for generating notifications of different types that have features that have meaning across different notification types such that these features can be used to generate comparable relevance scores with respect to candidate profiles. The relevance score calculated for a notification with respect to a member profile is used to determine whether the notification is to be presented to the member represented by the member profile.
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公开(公告)号:US10726093B2
公开(公告)日:2020-07-28
申请号:US15199440
申请日:2016-06-30
发明人: Shaunak Chatterjee , Ravi Kiran Holur Vijay , Romer E. Rosales , Mohamed Gamal Mohamed Mahmoud , Zheng Li , Kwei-you Tao , Bee-Chung Chen , Deepak Agarwal
IPC分类号: G06F16/00 , G06F16/957 , H04L29/08 , G06F16/955 , G06Q50/00 , G06Q10/10
摘要: A system and method for intermediate landing page rerouting are provided. In example embodiments, determine whether a webpage associated with a hyperlink has corresponding social network activities. Extract content from the webpage determined to have corresponding social network activities. In response to a selection of the hyperlink, reroute a web browser to an intermediate landing page. Cause presentation, at a user interface, of the extracted content and the corresponding social network activities.
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公开(公告)号:US10516644B2
公开(公告)日:2019-12-24
申请号:US15966567
申请日:2018-04-30
发明人: Changji Shi , Zhongen Tao , Jinyun Yan , Yan Gao , Shaunak Chatterjee , Sandor Nyako
IPC分类号: G06F15/16 , H04L12/58 , H04L29/08 , G06N20/00 , G06F16/9535 , G06F16/2457 , G06Q50/00
摘要: A notification platform for distribution of notification content in an on-line social network system addresses the technical problem of optimizing the volume of quality notifications that are being delivered to a given member. A notification delivery system is designed as a stream processing system that can fetch, store, and process data in a near-line fashion. It can perform feature generation, processing and scoring of notifications, as well as ranking of the notifications based on their respective relevance scores that are calculated using machine learning techniques. The notification delivery system is positioned centrally with respect to different producers of notifications, such that it can consume centrally-stored information about members' holistic notification experiences.
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公开(公告)号:US20190385089A1
公开(公告)日:2019-12-19
申请号:US16008190
申请日:2018-06-14
摘要: Methods, systems, and computer programs are presented for providing a user experience that facilitates navigation among different topics and articles on a social network. One method includes an operation for identifying a hierarchy of topics, each topic corresponding to a respective subject, where the hierarchy defines relationships between the topics. A first topic page for a first topic is presented in a user interface in the social network. The first topic page includes articles and first options for navigating to topic pages of topics related to the first topic. The method further includes detecting a selection of a first article. In response to detecting the selection, a first article page for the first article is presented in the user interface. The first article page includes details of the first article and second options for navigating to topic pages of topics related to the first article.
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公开(公告)号:US20190166224A1
公开(公告)日:2019-05-30
申请号:US15826462
申请日:2017-11-29
发明人: Pingjie Xiao , Shaunak Chatterjee , Shipeng Yu , Ankit Gupta , Swapnil Ghike , Vivek Nelamangala , Banu Muthukumar , Curtis Wang , Parinkumar Shah , Eric Brownrout , Changji Shi
CPC分类号: H04L67/306 , H04L41/12 , H04L41/22 , H04L67/26 , H04W4/21
摘要: A notification platform for distribution of notification content in an on-line social network system, on-line and in near real time, is described. As a new notification is detected in the continuous stream of notifications triggered by time-sensitive events, the near real time notifications distribution system determines member profiles representing potential recipients of the notification by traversing a relationship graph. The relationship graph has nodes representing member profiles, as well as other entities maintained in the on-line social network system. The edges of the relationship graph represent relationships between entities represented by the associated nodes. For each member profile representing a potential recipient of the notification, the near real time notifications distribution system generates a relevance score, which is used to determine whether the notification is to be delivered to the potential recipient.
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公开(公告)号:US11704370B2
公开(公告)日:2023-07-18
申请号:US15959005
申请日:2018-04-20
发明人: David J. Stein , Paul T. Ogilvie , Bee-Chung Chen , Shaunak Chatterjee , Priyanka Gariba , Ke Wu , Grace W. Tang , Yangchun Luo , Boyi Chen , Amit Yadav , Ruoyang Wang , Divya Gadde , Wenxuan Gao , Amit Chandak , Varnit Agnihotri , Wei Zhuang , Joel D. Young , Weidong Zhang
IPC分类号: G06F16/907 , G06N20/00 , G06F9/445 , G06F18/214
CPC分类号: G06F16/907 , G06F9/44505 , G06F18/214 , G06N20/00
摘要: The disclosed embodiments provide a system for processing data. During operation, the system obtains a feature configuration for a feature. Next, the system obtains, from the feature configuration, an anchor containing metadata for accessing the feature in an environment. The system then uses one or more attributes of the anchor to retrieve one or more feature values of the feature from the environment. Finally, the system provides the one or more feature values for use with one or more machine-learning models.
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