-
公开(公告)号：US20150046436A1
公开(公告)日：2015-02-12
申请号：US13961789
申请日：2013-08-07
Applicant: Facebook, Inc.
Inventor： Jun Li , Li Ju , Bradley Green , Lars Backstrom
IPC: G06F17/30
CPC classification number: G06F17/3053 , G06F17/30601 , G06Q30/02 , G06Q50/01 , H04L67/18 , H04L67/22
Abstract: Systems, methods, and apparatuses for tracking trends at an online presence are described. In some embodiments, an interactivity data structure and a tenured interactivity data structure are utilized in determining trends quickly.
Abstract translation: 描述了在线存在时跟踪趋势的系统，方法和设备。 在一些实施例中，交互性数据结构和终身交互性数据结构被用于快速确定趋势。
-
公开(公告)号：US20190158484A1
公开(公告)日：2019-05-23
申请号：US15820234
申请日：2017-11-21
Applicant: Facebook, Inc.
Inventor： Calvin Patrick Grunewald , Alexander Irvin Hopmann , Li Ju , James Caruso , Kun Chen , Pooya Karimian
Abstract: In one embodiment, a method includes receiving, from a client system of a first user of an online social network, an indication the first user is accessing a gaming platform; authenticating the first user to access to the gaming platform; receiving, from the gaming platform, a request to access social-networking information associated with the first user; providing, to the gaming platform, access to the social-networking information; receiving, from the gaming platform responsive to a call to a sharing-moments application programming interface (API), gaming-moment information that includes references to one or more in-game actions of the first user in a first game hosted on the gaming platform and metadata associated with each of the one or more in-game actions; and providing, to the client system of the first user, the gaming-moment information within one or more social contexts on the online social network.
-
公开(公告)号：US10218784B2
公开(公告)日：2019-02-26
申请号：US15395846
申请日：2016-12-30
Applicant: Facebook, Inc.
Inventor： Li Ju , David Ferguson , Jun Sun , Jireh Yiwei Tan , Bradley Ray Green , Kyle Philip Meyer , Xun Gong , Pooja Jain
Abstract: A social networking system selects a set of groups for presentation to a user of the social networking system. To select groups, the social networking system determining scores for various groups representing a likelihood of the user interacting with the groups. When determining a score for a group, the social networking system accounts for a likelihood of the user providing content to the group as well as the user accessing or viewing content associated with the group. Based on the scores, one or more groups are selected and presented to the user. Additionally, the social networking system may apply one or more diversity rules so that the selected groups have a variety of characteristics.
-
公开(公告)号：US20190042651A1
公开(公告)日：2019-02-07
申请号：US15667220
申请日：2017-08-02
Applicant: Facebook, Inc.
Inventor： Li Ju , Pawel Bara , Ramanathan Palaniappan , Eric Carl Ertmann , Jingxian Li , Jennifer Yin
Abstract: Systems, methods, and non-transitory computer-readable media can determine a set of posts associated with a group. One or more respective attributes can be determined for each of the posts. The posts can be categorized based at least in part on their respective attributes. One or more options for accessing the categorized posts can be provided through a page associated with the group, the page being accessible through a content provider system.
-
公开(公告)号：US10116758B2
公开(公告)日：2018-10-30
申请号：US15354942
申请日：2016-11-17
Applicant: Facebook, Inc.
Inventor： Li Ju , Matthew Bryan Folz , Ramanathan Palaniappan , Jonathan Ma , Pawel Bara
Abstract: An online system predicts the user's activity on the online system during a future time interval (e.g., the next day). The system collects activity data, such as actions that the user has taken on the system. The system predicts whether the user is likely to be active during the future time interval based on features extracted from the activity data. This system determines selection of notifications and delivery of notifications based on the predicted time when the user is likely to be active on the online system. The system further records the user's past interactions with notifications, such as whether the user viewed the notification, whether the user interacted with a content item associated with the notification, and so on. If system determines a rate of delivery of notifications to the user based on the frequency of past user interactions with notifications.
-
Patent Agency Ranking
16.发明申请公开(公告)号：US20170256002A1
公开(公告)日：2017-09-07
申请号：US15601107
申请日：2017-05-22
Applicant: Facebook, Inc.
Inventor： Bradley Ray Green , Li Ju , Yi Miao
Abstract: A social networking system selects a set of groups for presentation to a user of the social networking system. To select groups, the social networking system determines scores for various groups representing a likelihood of the user interacting with the groups. The social networking system may identify a set of groups based on interactions between the user and various groups occurring during a specific time interval and determine scores for groups in the set. When determining a score for a group, the social networking system accounts for times associated with interactions between the user and various groups. Based on the scores, one or more groups are selected and presented to the user. Additionally, the social networking system may identify a time to present the selected one or more groups to the user based on prior user interactions with various groups.
-
公开(公告)号：US20170187665A1
公开(公告)日：2017-06-29
申请号：US14980415
申请日：2015-12-28
Applicant: Facebook, Inc.
Inventor： Li Ju , Pawel Bara , Adit Vaidya , Felix Wong
Abstract: A social networking system maintains various groups that each include one or more users and maintains information describing interactions by users with the social networking system. Based on interactions with the social networking system by the user, the social networking system determines a time interval when the user most frequently interacts with the social networking system. Additionally, the social networking system selects various content items provided to groups including the user based on amounts of interaction with content items provided to groups including the user by other social networking system users. During the time interval when the user most frequently interacts with the social networking system, information identifying a set of the selected content items is presented to the user via the social networking system.
-
18.发明申请Identifying Groups For Recommendation To A Social Networking System User Based On User Location And Locations Associated With Groups 有权基于与组相关联的用户位置和位置的社会网络系统用户的建议群组公开(公告)号：US20160378776A1
公开(公告)日：2016-12-29
申请号：US14750509
申请日：2015-06-25
Applicant: Facebook, Inc.
Inventor： Bradley Ray Green , Li Ju , Jireh Tan , Chen Wang , Yi Miao
Abstract: A social networking system selects a set of groups for presentation to a user of the social networking system. To select groups, the social networking system identifies candidate groups and selects the set of groups from the candidate groups. To identify certain candidate groups, the social networking system determines a location associated with various groups based on locations associated with users included in the group. For example, the social networking system determines a centroid of a group based on locations associated with users included in the group and associates the centroid with the group if at least a threshold percentage of distances between locations associated with users included in the group and the centroid do not exceed a threshold distance. Groups associated with locations within a threshold distance of a location associated with the user are identified as candidate groups.
Abstract translation: 社交网络系统选择一组用于呈现给社交网络系统的用户的组。 为了选择组，社交网络系统识别候选组并从候选组中选择一组组。 为了识别某些候选组，社交网络系统基于与组中包括的用户相关联的位置来确定与各个组相关联的位置。 例如，社交网络系统基于与包括在组中的用户相关联的位置来确定组的质心，并且如果与组中包括的用户相关联的位置之间的距离的至少一个阈值百分比和质心将质心与组相关联 不要超过阈值距离。 与与用户相关联的位置的阈值距离内的位置相关联的组被识别为候选组。
-
19.发明申请公开(公告)号：US20160134576A1
公开(公告)日：2016-05-12
申请号：US14535265
申请日：2014-11-06
Applicant: Facebook, Inc.
Inventor： Li Ju , David Ferguson , Jun Sun , Jireh Yiwei Tan , Bradley Ray Green
CPC classification number: H04L51/32 , G06Q50/01 , H04L12/185
Abstract: A social networking system selects a set of groups for presentation to a user of the social networking system. To select groups, the social networking system determining scores for various groups representing a likelihood of the user interacting with the groups. When determining a score for a group, the social networking system accounts for a likelihood of the user providing content to the group as well as the user accessing or viewing content associated with the group. Based on the scores, one or more groups are selected and presented to the user. Additionally, the social networking system may apply one or more diversity rules so that the selected groups have a variety of characteristics.
Abstract translation: 社交网络系统选择一组用于呈现给社交网络系统的用户的组。 为了选择组，社交网络系统确定表示用户与组交互的可能性的各组的分数。 当确定组的分数时，社交网络系统考虑到用户向组提供内容以及用户访问或查看与该组相关联的内容的可能性。 基于分数，选择一个或多个组并呈现给用户。 此外，社交网络系统可以应用一个或多个分集规则，使得所选择的群组具有各种特征。
-
公开(公告)号：US10313461B2
公开(公告)日：2019-06-04
申请号：US15354948
申请日：2016-11-17
Applicant: Facebook, Inc.
Inventor： Li Ju , Matthew Bryan Folz , Ramanathan Palaniappan , Jonathan Ma , Pawel Bara
Abstract: An online system predicts the user's activity on the online system during a future time interval (e.g., the next day). The system collects activity data, such as actions that the user has taken on the system. The system predicts whether the user is likely to be active during the future time interval based on features extracted from the activity data. This system determines selection of notifications and delivery of notifications based on the predicted time when the user is likely to be active on the online system. The system further records the user's past interactions with notifications, such as whether the user viewed the notification, whether the user interacted with a content item associated with the notification, and so on. If system determines a rate of delivery of notifications to the user based on the frequency of past user interactions with notifications.
-
-
-
-
-
-
-
-
-
Search Results
33
records
(took 0.023 seconds)
