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    • 1. 发明申请
    • GIFT RECOMMENDATION METHOD AND SYSTEM
    • 礼品推荐方法和系统
    • US20100169160A1
    • 2010-07-01
    • US12346718
    • 2008-12-30
    • Xiaoyuan WuQian SunQiang WangYang ZhouXiaodi ZhangAlvaro Bolivar
    • Xiaoyuan WuQian SunQiang WangYang ZhouXiaodi ZhangAlvaro Bolivar
    • G06Q30/00G06Q50/00
    • G06Q30/0631G06Q30/02G06Q30/0241G06Q30/0601G06Q50/01
    • Embodiments for recommending gifts to users for their gift recipients over a network are described. For example, a gift recommendation system may collect a set of historical transaction data of a plurality of transactions, and organize the set of historical transaction data based on information related to buyer gender, buyer age, item category, and transaction date of each transaction, in which the list of predetermined amount of gift categories are ordered based on an entire item purchase amount of each gift category. The gift recommendation system may retrieve gender and age information of a gift recipient, for example, via a graphical user interface, and then may automatically present to the user a list of predetermined amount of gift categories selected from the organized set of historical transaction data based on the gender and age information of the gift recipient. Once a gift category is selected from the presented list of predetermined amount of gift categories, the gift recommendation system may automatically present to the user a list of predetermined amount of gift items belonging to the selected gift category.
    • 描述了通过网络向用户推荐馈赠礼物的实施例。 例如,礼品推荐系统可以收集多个交易的一组历史交易数据,并且基于与买方性别,买方年龄,项目类别和每个交易的交易日期相关的信息来组织一组历史交易数据, 其中基于每个礼品类别的整个商品购买量来订购预定量的礼物类别的列表。 礼物推荐系统可以例如通过图形用户界面检索礼物接收者的性别和年龄信息,然后可以自动向用户呈现从组织的历史交易数据集合中选择的预定数量的礼物类别的列表 关于礼品收件人的性别和年龄信息。 一旦从所提供的预定量的礼物类别列表中选择礼物类别,礼物推荐系统可以自动向用户呈现属于所选礼品类别的预定量的礼品的列表。
    • 3. 发明申请
    • SHARING ITEM IMAGES USING A SIMILARITY SCORE
    • 使用相似度分享共享项目图像
    • US20100042609A1
    • 2010-02-18
    • US12192625
    • 2008-08-15
    • Xiaoyuan WuAlvaro BolivarQiang Wang
    • Xiaoyuan WuAlvaro BolivarQiang Wang
    • G06F7/06G06F17/30G06F17/00
    • G06F17/30528G06F17/30247G06F17/3053G06Q30/0283G06Q30/0643
    • In some example embodiments, a system and method are illustrated to associate an item listing with one or more corresponding images. The system and method include receiving an item listing for an item from a user device. The system and method include generating a similarity score for a respective existing image associated with one or more existing item listings. The generating may be done by comparing the item listing with the existing item listings received from the user device. The similarity score may indicate a degree of similarity between the item listing and the existing item listings associated with the respective existing image. The system and method include proposing a specified number of existing images with the highest similarity scores to the user device. The system and method further include associating the item listing with one or more of the specified number of existing images accepted by the user device.
    • 在一些示例性实施例中,示出了将项目列表与一个或多个相应图像相关联的系统和方法。 该系统和方法包括从用户设备接收项目的项目列表。 该系统和方法包括为与一个或多个现有项目列表相关联的相应现有图像生成相似性得分。 生成可以通过将项目列表与从用户设备接收的现有项目列表进行比较来完成。 相似性分数可以指示项目列表和与相应的现有图像相关联的现有项目列表之间的相似程度。 该系统和方法包括向用户设备提出具有最高相似性得分的指定数量的现有图像。 该系统和方法还包括将项目列表与由用户设备接受的指定数量的现有图像中的一个或多个相关联。
    • 8. 发明授权
    • Sharing item images using a similarity score
    • 使用相似性分数共享项目图像
    • US08818978B2
    • 2014-08-26
    • US12192625
    • 2008-08-15
    • Xiaoyuan WuAlvaro BolivarQiang Wang
    • Xiaoyuan WuAlvaro BolivarQiang Wang
    • G06F17/30
    • G06F17/30528G06F17/30247G06F17/3053G06Q30/0283G06Q30/0643
    • In some example embodiments, a system and method are illustrated to associate an item listing with one or more corresponding images. The system and method include receiving an item listing for an item from a user device. The system and method include generating a similarity score for a respective existing image associated with one or more existing item listings. The generating may be done by comparing the item listing with the existing item listings received from the user device. The similarity score may indicate a degree of similarity between the item listing and the existing item listings associated with the respective existing image. The system and method include proposing a specified number of existing images with the highest similarity scores to the user device. The system and method further include associating the item listing with one or more of the specified number of existing images accepted by the user device.
    • 在一些示例性实施例中,示出了将项目列表与一个或多个相应图像相关联的系统和方法。 该系统和方法包括从用户设备接收项目的项目列表。 该系统和方法包括为与一个或多个现有项目列表相关联的相应现有图像生成相似性得分。 生成可以通过将项目列表与从用户设备接收的现有项目列表进行比较来完成。 相似性分数可以指示项目列表和与相应的现有图像相关联的现有项目列表之间的相似程度。 该系统和方法包括向用户设备提出具有最高相似性得分的指定数量的现有图像。 该系统和方法还包括将项目列表与由用户设备接受的指定数量的现有图像中的一个或多个相关联。
    • 10. 发明授权
    • Systems and methods for making contextual recommendations
    • 制定背景建议的制度和方法
    • US08386406B2
    • 2013-02-26
    • US12603348
    • 2009-10-21
    • Alvaro BolivarXiaoyuan WuJiaqian Zheng
    • Alvaro BolivarXiaoyuan WuJiaqian Zheng
    • G06F17/00G06N5/02
    • H04L67/22G06F17/30867G06N5/02G06Q30/0255H04L67/306
    • A method and a system for making contextual recommendations to users on a network-based system. For example, a first and second related category are selected and a relationship score is calculated representing an aspect of the relationship between the first and second related categories. A relationship type is selected to represent the relationship between the first and second categories using the relationship score. The relationship type is one of either a complement or a substitute. A complement relationship indicates a complementary relationship between the first and second related categories. While a substitute relationship indicates a substitutionary relationship between the first and second categories. The relationship type is stored associated with the first and second related categories. Using the selected relationship type, a recommendation is provided to a user on the network-based system.
    • 一种在基于网络的系统上向用户提供上下文建议的方法和系统。 例如,选择第一和第二相关类别,并计算表示第一和第二相关类别之间的关系的方面的关系得分。 选择关系类型以使用关系得分表示第一类和第二类之间的关系。 关系类型是补充或替代之一。 互补关系表示第一和第二相关类别之间的互补关系。 替代关系表示第一类和第二类之间的替代关系。 存储与第一和第二相关类别相关联的关系类型。 使用所选择的关系类型,在基于网络的系统上向用户提供建议。