HYBRID RECOMMENDATION SYSTEM
    2.
    发明申请
    HYBRID RECOMMENDATION SYSTEM 有权
    混合推荐系统

    公开(公告)号:US20110010366A1

    公开(公告)日:2011-01-13

    申请号:US12500657

    申请日:2009-07-10

    IPC分类号: G06F17/30

    CPC分类号: G06F17/30864 G06Q30/02

    摘要: A recommendation system may use a network of relationships between many different entities to find search results and establish a relevance value for the search results. The relevance value may be calculated by analyzing trust and similarity components of each relationship between the search user and the entity providing the search results. The entities may be, for example, persons associated within express or implied social networks, or corporations or other organizations with a historical or other reputation. The relationships may be created through many different contact mechanisms and may be unidirectional, asymmetric bidirectional, or symmetric bidirectional relationships. The relationships may be different based on topic or other factors.

    摘要翻译: 推荐系统可以使用许多不同实体之间的关系网络来查找搜索结果并建立搜索结果的相关性值。 可以通过分析搜索用户和提供搜索结果的实体之间的每个关系的信任和相似性分量来计算相关性值。 实体可以是例如在明示或暗示的社交网络内的人,或具有历史或其他声誉的公司或其他组织。 可以通过许多不同的接触机制来创建关系,并且可以是单向的,不对称的双向的或对称的双向关系。 基于主题或其他因素,关系可能不同。

    Integration of reserved and dynamic advertisement allocations

    公开(公告)号:US10223702B2

    公开(公告)日:2019-03-05

    申请号:US12967394

    申请日:2010-12-14

    摘要: Systems, methods, and computer media for integrating requests for reserved allocations of advertisement impressions and requests for dynamic allocations of advertisement impressions are provided. A request is received from a first advertiser to purchase a reserved allocation of advertisement impressions. The request specifies a requested number of impressions that each have one or more requested attributes. One or more bids to dynamically purchase one or more impressions through a real-time bidding process are received from an external bidding agent. An internal bidding agent bids, on behalf of the first advertiser, to dynamically purchase one or more impressions through the real-time bidding process until the request from the first advertiser to purchase the reserved allocation of impressions is satisfied.

    Recommendation ranking system with distrust
    5.
    发明授权
    Recommendation ranking system with distrust 有权
    推荐排名系统不信任

    公开(公告)号:US09152969B2

    公开(公告)日:2015-10-06

    申请号:US12755791

    申请日:2010-04-07

    摘要: A recommendation ranking system that computes trust for entities based on negative expressions of trust. Negative expressions of trust are used to reduce the trust of entities. However, the system may discount entities that in the aggregate are distrusted. The system may be used with a social network to provide accurate, personalized recommendations for members of the social network. The network may be modeled as a voting network, with each member of the social network represented as a node and expressions of trust between members represented as weights on edges between nodes. Values of trust may be computed for nodes in the network and used to generate a recommendation. Opinions expressed on a topic may be weighted by trust in the node expressing the opinion. The system may be applied in other settings that can be modeled as a voting network, including ranking of Internet search results.

    摘要翻译: 一种基于信任负面表达式计算实体信任度的推荐排名系统。 信任的负面表达被用来减少实体的信任。 然而,该系统可能折扣总体上被不信任的实体。 该系统可以与社交网络一起使用,以为社交网络的成员提供准确的个性化建议。 网络可以被建模为投票网络,社交网络的每个成员表示为节点,并且表示为在节点之间的边缘上的权重的成员之间的信任表达。 可以为网络中的节点计算信任值,并用于生成推荐。 对主题表达的意见可能会通过表达意见的节点的信任来加权。 该系统可以应用于可被建模为投票网络的其他设置中,包括因特网搜索结果的排名。

    Integration of Reserved and Dynamic Advertisement Allocations
    6.
    发明申请
    Integration of Reserved and Dynamic Advertisement Allocations 审中-公开
    保留和动态广告分配的整合

    公开(公告)号:US20120150656A1

    公开(公告)日:2012-06-14

    申请号:US12967394

    申请日:2010-12-14

    IPC分类号: G06Q30/00

    摘要: Systems, methods, and computer media for integrating requests for reserved allocations of advertisement impressions and requests for dynamic allocations of advertisement impressions are provided. A request is received from a first advertiser to purchase a reserved allocation of advertisement impressions. The request specifies a requested number of impressions that each have one or more requested attributes. One or more bids to dynamically purchase one or more impressions through a real-time bidding process are received from an external bidding agent. An internal bidding agent bids, on behalf of the first advertiser, to dynamically purchase one or more impressions through the real-time bidding process until the request from the first advertiser to purchase the reserved allocation of impressions is satisfied.

    摘要翻译: 提供了用于集成广告印象的预留分配请求和用于动态分配广告印象的请求的系统,方法和计算机媒体。 从第一个广告客户接收到一个请求,以购买广告印象的预留分配。 请求指定每个请求的一个或多个请求的属性的请求数量的展示。 从外部投标代理接收一个或多个通过实时出价过程动态购买一次或多次展示的出价。 内部出价代理人代表第一个广告客户,通过实时出价过程动态购买一次或多次展示,直到满足第一个广告客户购买保留的展示次数分配的请求为止。

    Enhanced online game mechanisms
    7.
    发明授权
    Enhanced online game mechanisms 失效
    增强的在线游戏机制

    公开(公告)号:US06676521B1

    公开(公告)日:2004-01-13

    申请号:US09642196

    申请日:2000-08-18

    IPC分类号: A63F1300

    摘要: A method of providing interactive online communication through a network comprising creating a population from a plurality of network participants in which the said participants are operatively coupled to participate in a game, then selecting a sub-population from the population based upon some pre-selected criteria, inviting the population to said game and receiving a confirmation from said sub-population.

    摘要翻译: 一种通过网络提供交互式在线通信的方法,包括从多个网络参与者创建一个群体,其中所述参与者可操作地耦合以参与游戏,然后基于一些预先选择的标准从群体中选择子群体 邀请人口参加比赛,并收到来自所述次人口的确认。

    SOCIAL INFLUENCERS DISCOVERY
    8.
    发明申请
    SOCIAL INFLUENCERS DISCOVERY 审中-公开
    社会影响发现

    公开(公告)号:US20120209920A1

    公开(公告)日:2012-08-16

    申请号:US13042463

    申请日:2011-03-08

    IPC分类号: G06F17/30 G06F15/16

    CPC分类号: G06Q30/0201 G06F16/9535

    摘要: Social influencers may be identified for specific usage contexts and for influencer type. Influencers may be categorized by mavens, connectors, salesmen, or other categories. Within each usage context, a unified data model may be used to collect data from multiple sources, including multiple social networks, as well as to collect data from different levels of influencers in each usage context. The relevance of various communication media as well as the frequency and quality of use of the media may be factors used to determine a person's effectiveness as a specific type of influencer within a usage context.

    摘要翻译: 社会影响者可以针对具体使用情况和影响者类型进行识别。 影响者可以通过商品,连接器,推销员或其他类别进行分类。 在每个使用情况下,可以使用统一的数据模型来从多个来源(包括多个社交网络)收集数据,以及从每个使用环境中的不同级别的影响者收集数据。 各种通信媒体的相关性以及媒体的频率和使用质量可以是用于在使用上下文中确定个人作为特定类型的影响者的有效性的因素。

    SOCIAL MARKETING INCENTIVES AND REWARDS
    9.
    发明申请
    SOCIAL MARKETING INCENTIVES AND REWARDS 审中-公开
    社会营销激励和奖励

    公开(公告)号:US20120209674A1

    公开(公告)日:2012-08-16

    申请号:US13041452

    申请日:2011-03-07

    IPC分类号: G06Q30/00

    CPC分类号: G06Q30/0207 G06Q50/01

    摘要: A social marketing system may reward and incentivize participants, and may also have a fraud detection system. The manager may create social marketing campaigns that may be simulated to determine an expected set of activities, which may be compared to an actual set of activities. A fraud detection system may detect abnormal activity and may bring the activity to a manager's attention and may also punish the participants by withholding rewards, lowering the participant's reputation, or some other punishment mechanism.

    摘要翻译: 社会营销系统可以奖励和激励参与者,也可能有欺诈检测系统。 经理可以创建可以模拟的社交营销活动,以确定预期的一组活动,这可以与一组实际的活动进行比较。 欺诈检测系统可能会检测到异常活动,并可能引起经理注意的活动,也可以通过扣留奖励,降低参与者的声誉或其他惩罚机制来惩罚参与者。

    RECOMMENDATION RANKING SYSTEM WITH DISTRUST
    10.
    发明申请
    RECOMMENDATION RANKING SYSTEM WITH DISTRUST 有权
    推荐排序系统

    公开(公告)号:US20110252121A1

    公开(公告)日:2011-10-13

    申请号:US12755791

    申请日:2010-04-07

    IPC分类号: G06F15/173 G06F17/11

    摘要: A recommendation ranking system that computes trust for entities based on negative expressions of trust. Negative expressions of trust are used to reduce the trust of entities. However, the system may discount entities that in the aggregate are distrusted. The system may be used with a social network to provide accurate, personalized recommendations for members of the social network. The network may be modeled as a voting network, with each member of the social network represented as a node and expressions of trust between members represented as weights on edges between nodes. Values of trust may be computed for nodes in the network and used to generate a recommendation. Opinions expressed on a topic may be weighted by trust in the node expressing the opinion. The system may be applied in other settings that can be modeled as a voting network, including ranking of Internet search results.

    摘要翻译: 一种基于信任负面表达式计算实体信任度的推荐排名系统。 信任的负面表达被用来减少实体的信任。 然而,该系统可能折扣总体上被不信任的实体。 该系统可以与社交网络一起使用,以为社交网络的成员提供准确的个性化建议。 网络可以被建模为投票网络,社交网络的每个成员表示为节点,并且表示为在节点之间的边缘上的权重的成员之间的信任表达。 可以为网络中的节点计算信任值,并用于生成推荐。 对主题表达的意见可能会通过表达意见的节点的信任来加权。 该系统可以应用于可被建模为投票网络的其他设置中,包括因特网搜索结果的排名。