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2. 发明申请

WO2011005072A2 PERSONALIZED SHOPPING LIST RECOMMENDATION BASED ON SHOPPING BEHAVIOR 审中-公开
标题翻译：基于购物行为的个性化购物清单推荐
公开(公告)号：WO2011005072A2
公开(公告)日：2011-01-13
申请号：PCT/MY2010000110
申请日：2010-06-30
申请人： MIMOS BHD , NORLIZA MOHAMAD ZAINI , HASMILA AKMAR OMAR , NORLIDZA MOHD YASSIN
发明人： NORLIZA MOHAMAD ZAINI , HASMILA AKMAR OMAR , NORLIDZA MOHD YASSIN
IPC分类号： G06Q30/02
CPC分类号： G06Q30/02
摘要： A method of providing purchasing recommendations to a user by generating a purchasing behavior model of the user is disclosed. The model is generated by capturing user's purchase preference information during registration and/or by tracking and analyzing purchases of the user at physical and virtual stores. The products purchased by the user are identified to be in one or more of the following categories: next interval due; seasonal; store dependent; promotion dependent; commodity-brand dependent; commodity dependent; brand dependent; and price-dependent. When a request is made for shopping recommendations, a server generates a list of personalized purchase-recommendations by performing a reasoning process on the user's purchasing behavior model and based on the user's current context, e.g. visited store, current time and current date. The generated list of personalized purchase-recommendations is then forwarded to the user.
摘要翻译：公开了一种通过生成用户的购买行为模型来向用户提供购买推荐的方法。该模型是通过在注册期间捕获用户的购买偏好信息和/或通过在物理和虚拟商店处追踪和分析用户的购买而生成的。用户购买的产品被识别为以下一个或多个类别：下一个到期时间间隔; 季节性; 商店依赖; 促销依赖; 商品品牌依赖; 商品依赖的; 品牌依赖; 和价格相关。当请求购物推荐时，服务器通过对用户的购买行为模型执行推理过程并且基于用户的当前情境（例如，购物行为）来生成个性化购买推荐的列表。访问过商店，当前时间和当前日期。生成的个性化购买建议列表随后被转发给用户。

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