SYSTEM AND METHODOLOGY FOR RECOMMENDING PURCHASES FOR A SHOPPING INTENT
    1.
    发明申请
    SYSTEM AND METHODOLOGY FOR RECOMMENDING PURCHASES FOR A SHOPPING INTENT 审中-公开
    用于购物意向的建议购买的系统和方法

    公开(公告)号:US20100088148A1

    公开(公告)日:2010-04-08

    申请号:US12244121

    申请日:2008-10-02

    IPC分类号: G06Q30/00 G06F17/30 G06F17/10

    摘要: Techniques are disclosed for optimizing shopping. In one aspect, purchase items are recommended to a user based on the total purchasing costs of the recommended purchase items. In one embodiment, the total purchase cost includes not just the price of the purchase item but also includes weighted costs based on non-price purchasing cost factors. In another aspect, data is maintained that represents social relationships between members of a network of users and purchase recommendations are made to a user based on the relatedness between the user, the item and the other members of the network. In yet another aspect, purchase recommendations are made based on the best time to purchase a purchase item. In another aspect, item retailers can offer purchase item incentives to users based on the identity of and information about the shopper to whom the incentive is offered including bundling incentives in a unified redemption code.

    摘要翻译: 公开了优化购物的技术。 在一个方面,根据推荐购买项目的总购买成本向用户推荐购买项目。 在一个实施例中,总购买成本不仅包括购买项目的价格,还包括基于非价格购买成本因素的加权成本。 在另一方面,维护表示用户网络的成员之间的社会关系的数据,并且基于用户,项目和网络的其他成员之间的相关性向用户进行购买建议。 在另一方面,购买建议是基于购买购买物品的最佳时间。 另一方面,物品零售商可以根据用户的身份和购买者的信息,向用户提供购买物品激励,包括在其中提供奖励的购物者,包括在统一赎回代码中的捆绑激励。