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    • 6. 发明申请
    • SENDING PRODUCT INFORMATION BASED ON DETERMINED PREFERENCE VALUES
    • 基于确定的偏好值发送产品信息
    • WO2012121935A2
    • 2012-09-13
    • PCT/US2012/027028
    • 2012-02-28
    • ALIBABA GROUP HOLDING LIMITEDSU, NingjunZHANG, XuLONG, RongshenYANG, Zhixiong
    • SU, NingjunZHANG, XuLONG, RongshenYANG, Zhixiong
    • G06Q30/02
    • G06Q30/0241G06Q30/02
    • Determining which product information to send to a user based on a determined preference value is disclosed, including: determining pieces of user action data that are associated with a current information collection period, the user, and the product category; determining a new visit quantity associated with the current information collection period; determining an updated cumulative visit quantity associated with the product category based at least in part on the new visit quantity associated with the current information collection period; determining a total duration value associated with the product category based at least in part on a duration value associated with the current information collection period; determining a visit interval value associated with the product category and the current information collection period; and determining a long-term preference value associated with the user for the product category.
    • 公开了基于确定的偏好值来确定要发送给用户的产品信息,包括:确定与当前信息收集周期相关联的用户动作数据,用户和产品类别; 确定与当前信息收集期相关联的新的访问量; 至少部分地基于与当前信息收集周期相关联的新的访问量来确定与所述产品类别相关联的更新的累积访问量; 至少部分地基于与当前信息收集周期相关联的持续时间值来确定与产品类别相关联的总持续时间值; 确定与产品类别和当前信息收集期相关联的访问间隔值; 以及确定与所述产品类别的用户相关联的长期偏好值。
    • 7. 发明申请
    • METHOD AND APPARATUS OF FORECASTING REPURCHASE INCLINATION
    • 预测回收费用的方法和装置
    • WO2011100015A1
    • 2011-08-18
    • PCT/US2010/058361
    • 2010-11-30
    • ALIBABA GROUP HOLDING LIMITEDSU, Ningjun
    • SU, Ningjun
    • G06Q40/00
    • G06Q30/02
    • The present disclosure and data processing technology discloses a method and apparatus of forecasting repurchase inclinations of one or more clients. The disclosed technique improves the forecast accuracy of the clients' repurchasing inclination. The method includes: retrieving a list of a plurality of target clients from a specified storage location; determining historical benefits and a variation trend in historical benefits for at least one client based on respective historical benefits within a specified range of time; determining a purchasing power parameter and a degree of maturity for the client; computing a comfort level score for the client based on the respective historical trends, variation trend in historical benefits, purchasing power parameter, and degree of maturity; and determining a list of clients with repurchase inclination, the list of clients with repurchase inclination including those clients having a respective comfort level score satisfying a threshold condition.
    • 本公开和数据处理技术公开了一种或多种客户的回购倾向的预测方法和装置。 所披露的技术提高了客户回购倾向的预测准确性。 该方法包括:从指定的存储位置检索多个目标客户端的列表; 根据具体时间范围内的相应历史效益确定至少一个客户的历史效益和历史效益的变化趋势; 确定客户的购买力参数和成熟度; 根据各自的历史趋势,历史效益的变化趋势,购买力参数和成熟度计算客户的舒适程度评分; 以及具有回购倾向的客户列表,具有回购倾向的客户的列表,包括具有满足阈值条件的相应舒适度等级的那些客户。
    • 8. 发明申请
    • PRODUCT RECOMMENDATION SYSTEM
    • 产品推荐系统
    • WO2012018388A1
    • 2012-02-09
    • PCT/US2011/001364
    • 2011-08-02
    • ALIBABA GROUP HOLDING LIMITEDXIAO, QuanwuSU, NingjunTAN, ChangLIU, QiZHANG, JinyinCHEN, Enhong
    • XIAO, QuanwuSU, NingjunTAN, ChangLIU, QiZHANG, JinyinCHEN, Enhong
    • G06Q30/00
    • G06Q30/00G06F17/3053G06Q30/0631
    • Product recommendation is disclosed, including retrieving user behavior data associated with a predetermined statistical period; sorting the user behavior data into one or more groups of data corresponding to one or more types of products based at least in part on associated product identifiers; determining a plurality of interest levels associated with the predetermined statistical period for at least one or more groups of data; determining a plurality of purchase peak probabilities using at least the plurality of interest levels, wherein a purchase peak probability is associated with a predicted likelihood of user interest in receiving recommendations associated with a type of product; ranking at least a portion of the plurality of purchase peak probabilities in response to receipt of an indication to present recommendation information; and presenting recommendation information based at least in part on the ranked at least portion of the plurality of purchase peak probabilities.
    • 公开了产品推荐,包括检索与预定统计周期相关联的用户行为数据; 至少部分地基于相关联的产品标识符将用户行为数据分类为与一种或多种类型的产品相对应的一组或多组数据; 确定与所述预定统计周期相关联的对于至少一个或多个数据组的多个兴趣级别; 使用至少所述多个兴趣级别来确定多个购买峰值概率,其中购买峰值概率与用户感兴趣的接收与产品类型相关联的建议的可能性相关联; 响应于接收到呈现推荐信息的指示,对所述多个购买峰值概率中的至少一部分进行排序; 以及至少部分地基于所述多个购买峰值概率中的至少一部分排列呈现推荐信息。
    • 9. 发明申请
    • PROVIDING INFORMATION RECOMMENDATIONS BASED ON DETERMINED USER GROUPS
    • 根据确定的用户组提供信息建议
    • WO2013101676A2
    • 2013-07-04
    • PCT/US2012/071023
    • 2012-12-20
    • ALIBABA GROUP HOLDING LIMITED
    • SU, NingjunGU, Haijie
    • G06F17/30
    • G06F17/30598G06Q10/08G06Q30/02G06Q30/06
    • Classifying a user into a user group is described, including: obtaining action record information associated with a user with respect to a plurality of information categories; determining a preference value for at least one of the plurality of information categories based at least in part on the action record information; determining a demand preference dispersion value for the user based at least in part on the preference value, wherein the demand preference dispersion value represents a degree to which the user has dispersed interest across the plurality of information categories; and determining whether the user is to be associated with a demand- focused user group based at least in part on the demand preference dispersion value.
    • 描述了将用户分类到用户组中,包括:获得关于多个信息类别与用户相关联的动作记录信息; 至少部分地基于所述动作记录信息来确定所述多个信息类别中的至少一个的偏好值; 至少部分地根据所述偏好值确定所述用户的需求偏好色散值,其中所述需求偏好色散值表示所述用户在所述多个信息类别中分散了兴趣的程度; 以及至少部分地基于所述需求偏好分散值来确定所述用户是否要与针对需求的用户组相关联。
    • 10. 发明申请
    • PERSONALIZED INFORMATION PUSHING METHOD AND DEVICE
    • 个性化信息推送方法和设备
    • WO2013090686A1
    • 2013-06-20
    • PCT/US2012/069693
    • 2012-12-14
    • ALIBABA GROUP HOLDING LIMITED
    • YANG, ZhixiongDENG, ZhonghuaSU, Ningjun
    • G06F17/30
    • G06N5/02G06F17/30867G06Q30/0631G06Q50/10
    • Embodiments of the present application relate to a personalized information pushing method, a personalized information pushing device, and a computer program product for pushing personalized information. A personalized information pushing method is provided. The method includes retrieving network behavior data related to access operations performed by user terminals, determining a numerical value of a degree of correlation between a user terminal and a plurality of information providing terminals having a correlation within a set time window based on the network behavior data, retrieving information providing terminals corresponding to a first user terminal to form a first data set based on the numerical values, retrieving information of the information providing terminals from the first data set to generate a first information, and pushing the first information to the first user terminal.
    • 本申请的实施例涉及个性化信息推送方法,个性化信息推送装置和用于推送个性化信息的计算机程序产品。 提供个性化信息推送方法。 该方法包括:检索与用户终端执行的访问操作有关的网络行为数据,基于网络行为数据确定用户终端与具有相关性的多个信息提供终端之间的相关程度的数值 检索与第一用户终端相对应的信息提供终端,以基于数值形成第一数据集,从第一数据集中检索信息提供终端的信息以产生第一信息,并将第一信息推送到第一用户 终奌站。