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    Recommendation system with user interface for exposing downstream effects of paricular rating actions
    3.
    发明授权
    Recommendation system with user interface for exposing downstream effects of paricular rating actions 有权
    具有用户界面的推荐系统，用于暴露对同类评级动作的下游影响

    公开(公告)号：US09076179B2

    公开(公告)日：2015-07-07

    申请号：US13924269

    申请日：2013-06-21

    申请人： Amazon Technologies, Inc.

    发明人： Joseph Xavier ,  George M. Ionkov ,  Jeffrey D. Lehman ,  Japan S. Doshi ,  Sandy Wenling Qiu ,  Bobby P. Nath

    IPC分类号： G06Q30/00 ,  G06Q30/06

    CPC分类号： G06Q30/0631 ,  G06Q30/00

    摘要： An interactive system generates personalized item recommendations for users based partly or wholly on ratings assigned by the users to particular items. The system includes an item rating user interface that enables a user to view, prior to rating an item, information regarding the types of items that will be recommended to the user if the user assigns a particular rating or type of rating to the item. The user interface thereby enables users to refrain from performing rating actions that will tend to result in low utility or “poor quality” recommendations from the users' perspectives.

    摘要翻译： 交互式系统部分或全部地根据用户对特定项目分配的评级为用户生成个性化项目建议。 该系统包括项目评级用户界面，使得用户能够在对项目评级之前查看关于将被推荐给用户的项目的类型的信息，如果用户向该项目分配了特定的等级或类型的评级。 因此，用户界面使得用户能够避免执行从用户的角度倾向于导致低效用或“差质量”建议的评级动作。

    AUTOMATED DETECTION OF NEW ITEM FEATURES BY ANALYSIS OF ITEM ATTRIBUTE DATA
    4.
    发明申请
    AUTOMATED DETECTION OF NEW ITEM FEATURES BY ANALYSIS OF ITEM ATTRIBUTE DATA 审中-公开
    通过分析项目属性数据自动检测新项目特征

    公开(公告)号：US20150154685A1

    公开(公告)日：2015-06-04

    申请号：US14605564

    申请日：2015-01-26

    申请人： Amazon Technologies, Inc.

    发明人： Elmore Eugene Pope ,  Scott Allen Mongrain ,  Joseph Xavier ,  Srikanth Thirumalai

    IPC分类号： G06Q30/06

    CPC分类号： G06Q30/0631 ,  G06Q30/0625

    摘要： A system may identify new features of items represented in an electronic catalog by comparing the attributes of items from an earlier time period (e.g., 1 to 3 years ago) with the attributes of items from a later or more recent time period (e.g., today) for a given items classification. By identifying attributes associated with items from the later time period, but not with items from the earlier time period, the system can identify new features associated with the given items classification. In some cases, the system may use search behaviors of users to assess whether such new features are important to users.

    摘要翻译： 系统可以通过将来自较早时间段（例如，1至3年前）的项目的属性与来自较晚或更近的时间段（例如，今天的）的项目的属性进行比较来识别电子目录中表示的项目的新特​​征 ）给定项目分类。 通过识别与来自较晚时间段的项目相关联的属性，而不是与来自较早时间段的项目相关联的属性，系统可以识别与给定项目分类相关联的新特征。 在某些情况下，系统可能会使用用户的搜索行为来评估这些新功能对用户是否重要。

    RECOMMENDATION SYSTEM WITH USER INTERFACE FOR EXPOSING DOWNSTREAM EFFECTS OF PARICULAR RATING ACTIONS
    5.
    发明申请
    RECOMMENDATION SYSTEM WITH USER INTERFACE FOR EXPOSING DOWNSTREAM EFFECTS OF PARICULAR RATING ACTIONS 审中-公开
    具有用户界面的推荐系统，用于暴露特殊评级操作的下游影响

    公开(公告)号：US20130282519A1

    公开(公告)日：2013-10-24

    申请号：US13924269

    申请日：2013-06-21

    申请人： Amazon Technologies, Inc.

    发明人： Joseph Xavier ,  George M. Ionkov ,  Jeffrey D. Lehman ,  Japan S. Doshi ,  Sandy Wenling Qiu ,  Bobby P. Nath

    IPC分类号： G06Q30/06

    CPC分类号： G06Q30/0631 ,  G06Q30/00

    摘要： An interactive system generates personalized item recommendations for users based partly or wholly on ratings assigned by the users to particular items. The system includes an item rating user interface that enables a user to view, prior to rating an item, information regarding the types of items that will be recommended to the user if the user assigns a particular rating or type of rating to the item. The user interface thereby enables users to refrain from performing rating actions that will tend to result in low utility or “poor quality” recommendations from the users' perspectives.

    摘要翻译： 交互式系统部分或全部地根据用户对特定项目分配的评级为用户生成个性化项目建议。 该系统包括项目评级用户界面，使得用户能够在对项目评级之前查看关于将被推荐给用户的项目的类型的信息，如果用户向该项目分配了特定的等级或类型的评级。 因此，用户界面使得用户能够避免执行从用户的角度倾向于导致低效用或“差质量”建议的评级动作。

    DETECTING PRODUCT ATTRIBUTES ASSOCIATED WITH PRODUCT UPGRADES BASED ON BEHAVIORS OF USERS
    6.
    发明申请
    DETECTING PRODUCT ATTRIBUTES ASSOCIATED WITH PRODUCT UPGRADES BASED ON BEHAVIORS OF USERS 审中-公开
    根据用户行为检测与产品升级相关的产品属性

    公开(公告)号：US20150339759A1

    公开(公告)日：2015-11-26

    申请号：US14819267

    申请日：2015-08-05

    申请人： Amazon Technologies, Inc.

    发明人： Elmore Eugene Pope ,  Scott Allen Mongrain ,  Joseph Xavier ,  Srikanth Thirumalai

    IPC分类号： G06Q30/06 ,  G06F17/30

    CPC分类号： G06Q30/0631 ,  G06F16/2423 ,  G06F16/2428 ,  G06F16/9535 ,  G06Q30/06 ,  G06Q30/0625

    摘要： A system may use search refinements to identify new product trends. These product trends may be associated with attributes or product features that may previously have been available, but are newly of interest to a users. The system may compare search refinements used by users during an earlier time period with search refinements used during a more recent time period to identify search refinements that are used more often during the later time period. Based on this comparison, the system can identify a product feature that is of interest to users during the later time period, but not the earlier time period. The system can then recommend products with the product feature to potential customers. Further, if the product feature was not available during the earlier time period, the system can identify to potential customers that the product feature is newly available in relation to the earlier time period.

    摘要翻译： 系统可以使用搜索优化来识别新的产品趋势。 这些产品趋势可能与先前可用的属性或产品功能相关联，但是对用户最感兴趣。 该系统可以比较在较早时间段期间用户使用的搜索优化与在更近的时间段期间使用的搜索优化，以识别在稍后时间段期间更频繁地使用的搜索优化。 基于这种比较，系统可以识别在稍后时间段期间用户感兴趣的产品功能，而不是较早的时间段。 然后，系统可以向潜在客户推荐具有产品功能的产品。 此外，如果产品功能在较早的时间段内不可用，则系统可以向潜在客户识别产品功能与较早时间段相关的新可用性。