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    QUERYING FEATURES BASED ON USER ACTIONS IN ONLINE SYSTEMS
    11.
    发明申请
    QUERYING FEATURES BASED ON USER ACTIONS IN ONLINE SYSTEMS 有权
    基于在线系统中的用户操作的查询功能

    公开(公告)号：US20140250137A1

    公开(公告)日：2014-09-04

    申请号：US14278382

    申请日：2014-05-15

    Applicant: Facebook, Inc.

    Inventor： Ryan Allen Stout ,  Ming Hua ,  Hong Yan

    IPC: G06F17/30

    CPC classification number: G06F17/30386 ,  G06F17/30867 ,  G06Q10/101 ,  G06Q50/01

    Abstract: Online systems, for example, social networking systems store features describing relations between entities represented in the online system. The information describing the features is represented as a graph. The online system maintains a cumulative feature graph and an incremental feature graph. Feature values based on recent user actions are stored in the incremental graph and feature values based on previous actions are stored in the cumulative graph. Periodically, the information stored in the incremental feature graph is merged with the information stored in the cumulative feature graph. The incremental graph is marked as inactive during the merge and information based on new user actions is stored in an active incremental feature graph. If a request for feature information is received, the feature information obtained from the cumulative feature graph, inactive incremental feature graph and the active incremental feature graph are combined to determine the feature information.

    Abstract translation: 在线系统，例如，社交网络系统存储描述在线系统中表示的实体之间的关系的特征。 描述特征的信息表示为图形。 在线系统维护累积特征图和增量特征图。 基于最近用户动作的特征值存储在增量图中，基于先前动作的特征值存储在累积图中。 定期地，存储在增量特征图中的信息与存储在累积特征图中的信息合并。 增量图在合并期间被标记为不活动，而基于新用户操作的信息存储在活动增量特征图中。 如果接收到对特征信息的请求，则从累积特征图，非活动增量特征图和活动增量特征图获得的特征信息被组合以确定特征信息。

    Grouping Recommended Search Queries in Card Clusters
    15.
    发明申请
    Grouping Recommended Search Queries in Card Clusters 审中-公开
    分组卡集群中的推荐搜索查询

    公开(公告)号：US20160246890A1

    公开(公告)日：2016-08-25

    申请号：US15147305

    申请日：2016-05-05

    Applicant: Facebook, Inc.

    Inventor： Avichal Garg ,  Ming Hua ,  Saurabh Prafulla Chakradeo

    IPC: G06F17/30 ,  G06F3/0482 ,  H04L29/08 ,  G06F3/0484

    CPC classification number: G06F17/3053 ,  G06F3/0482 ,  G06F3/04842 ,  G06F17/30554 ,  G06F17/30598 ,  G06F17/30637 ,  G06F17/30643 ,  G06F17/30651 ,  G06F17/30699 ,  G06F17/30705 ,  G06F17/30867 ,  G06F17/30958 ,  G06Q50/01 ,  H04L67/02 ,  H04L67/10 ,  H04L67/42

    Abstract: In one embodiment, a method includes receiving, from a client system of a first user of a communication network, an input from the first user to access a card-stack interface, generating one or more card clusters from a plurality of cards, each card comprising a query referencing a query-domain associated with the communication network and zero or more query-filters for the query-domain, wherein each query-filter references one or more objects of the communication network, each card cluster comprising one or more cards from the plurality of cards, the cards being formed into card clusters based on a card-affinity between the cards, and sending, to the client system in response to the input from the first user, the card-stack interface for display to the first user, wherein the card-stack interface comprises one or more of the card clusters.

    Abstract translation: 在一个实施例中，一种方法包括从客户端系统接收通信网络的第一用户的来自第一用户的输入以访问卡堆栈接口，从多个卡生成一个或多个卡簇，每个卡 包括引用与通信网络相关联的查询域的查询和用于查询域的零个或多个查询过滤器，其中每个查询过滤器引用通信网络的一个或多个对象，每个卡集合包括一个或多个卡， 多个卡片，卡片基于卡片之间的卡片相关性而形成卡片集群，并且响应于来自第一用户的输入向客户端系统发送用于显示给第一用户的卡片堆叠接口 ，其中所述卡堆叠接口包括所述卡簇中的一个或多个。

    QUERYING FEATURES BASED ON USER ACTIONS IN ONLINE SYSTEMS
    17.
    发明申请
    QUERYING FEATURES BASED ON USER ACTIONS IN ONLINE SYSTEMS 有权

    公开(公告)号：US20140156637A1

    公开(公告)日：2014-06-05

    申请号：US13690225

    申请日：2012-11-30

    Applicant: Facebook, Inc.

    Inventor： Ryan Stout ,  Ming Hua ,  Hong Yan

    IPC: G06F17/30

    CPC classification number: G06F17/30386 ,  G06F17/30867 ,  G06Q10/101 ,  G06Q50/01

    Abstract: Online systems, for example, social networking systems store features describing relations between entities represented in the online system. The information describing the features is represented as a graph. The online system maintains a cumulative feature graph and an incremental feature graph. Feature values based on recent user actions are stored in the incremental graph and feature values based on previous actions are stored in the cumulative graph. Periodically, the information stored in the incremental feature graph is merged with the information stored in the cumulative feature graph. The incremental graph is marked as inactive during the merge and information based on new user actions is stored in an active incremental feature graph. If a request for feature information is received, the feature information obtained from the cumulative feature graph, inactive incremental feature graph and the active incremental feature graph are combined to determine the feature information.

    Grouping recommended search queries on online social networks
    19.
    发明授权
    Grouping recommended search queries on online social networks 有权
    对在线社交网络上的推荐搜索查询进行分组

    公开(公告)号：US09367629B2

    公开(公告)日：2016-06-14

    申请号：US14258989

    申请日：2014-04-22

    Applicant: Facebook, Inc.

    Inventor： Avichal Garg ,  Ming Hua ,  Saurabh Prafulla Chakradeo

    IPC: G06F17/30 ,  H04L29/08 ,  H04L29/06 ,  G06Q50/00

    CPC classification number: G06F17/3053 ,  G06F3/0482 ,  G06F3/04842 ,  G06F17/30554 ,  G06F17/30598 ,  G06F17/30637 ,  G06F17/30643 ,  G06F17/30651 ,  G06F17/30699 ,  G06F17/30705 ,  G06F17/30867 ,  G06F17/30958 ,  G06Q50/01 ,  H04L67/02 ,  H04L67/10 ,  H04L67/42

    Abstract: In one embodiment, a method includes accessing a social graph that includes a number of nodes and edges connecting the nodes. Each of the edges between two of the nodes representing a single degree of separation between them. The nodes include a first node corresponding to a first user associated with an online social network and a plurality of second nodes that each correspond to a concept or a second user associated with the online social network. The method also includes generating a number of cards. Each card includes a suggested query referencing a query-domain associated with the online social network and zero or more query-filters for the query-domain. Each query-filter references one or more nodes of the plurality of nodes or one or more edges of the plurality of edges.

    Abstract translation: 在一个实施例中，一种方法包括访问包括连接节点的多个节点和边缘的社交图。 两个节点之间的每个边缘表示它们之间的单一分离度。 节点包括对应于与在线社交网络相关联的第一用户的第一节点和每个对应于与在线社交网络相关联的概念或第二用户的多个第二节点。 该方法还包括生成多个卡。 每个卡片包括一个引用与在线社交网络相关联的查询域的建议查询，以及查询域的零个或多个查询过滤器。 每个查询过滤器引用多个节点中的一个或多个节点或多个边缘中的一个或多个边缘。

    UPDATING FEATURES BASED ON USER ACTIONS IN ONLINE SYSTEMS
    20.
    发明申请
    UPDATING FEATURES BASED ON USER ACTIONS IN ONLINE SYSTEMS 审中-公开
    基于在线系统的用户行为的更新功能

    公开(公告)号：US20150254372A1

    公开(公告)日：2015-09-10

    申请号：US14722007

    申请日：2015-05-26

    Applicant: Facebook, Inc.

    Inventor： Ming Hua ,  Hong Yan

    IPC: G06F17/30 ,  H04L29/06

    CPC classification number: G06F17/30958 ,  G06F17/30345 ,  G06Q30/0251 ,  G06Q50/01 ,  H04L65/403

    Abstract: Online systems, for example, social networking systems store features describing relations between entities represented in the online system. The information describing the features is represented as a graph. The online system maintains a cumulative feature graph and an incremental feature graph. Feature values based on recent user actions are stored in the incremental graph and feature values based on previous actions are stored in the cumulative graph. Periodically, the information stored in the incremental feature graph is merged with the information stored in the cumulative feature graph. The incremental graph is marked as inactive during the merge and information based on new user actions is stored in an active incremental feature graph. If a request for feature information is received, the feature information obtained from the cumulative feature graph, inactive incremental feature graph and the active incremental feature graph are combined to determine the feature information.

    Abstract translation: 在线系统，例如，社交网络系统存储描述在线系统中表示的实体之间的关系的特征。 描述特征的信息表示为图形。 在线系统维护累积特征图和增量特征图。 基于最近用户动作的特征值存储在增量图中，基于先前动作的特征值存储在累积图中。 定期地，存储在增量特征图中的信息与存储在累积特征图中的信息合并。 增量图在合并期间被标记为不活动，而基于新用户操作的信息存储在活动增量特征图中。 如果接收到对特征信息的请求，则从累积特征图，非活动增量特征图和活动增量特征图获得的特征信息被组合以确定特征信息。

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