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    • 6. 发明授权
    • Cold-start in situation-aware systems
    • 情境感知系统中的冷启动
    • US08234893B2
    • 2012-08-07
    • US12109924
    • 2008-04-25
    • Sangoh JeongDoreen ChengSwaroop KalasapurYu Song
    • Sangoh JeongDoreen ChengSwaroop KalasapurYu Song
    • G06F17/18G06F19/00G06F11/30G06N5/02
    • G06F17/30528G06Q30/02H04L67/327Y10T70/5642
    • A definition of a set of context variables to be considered is received, wherein the context variables represent categories of situations in which the computer system can be. A definition of a set of activities to be considered is also received, wherein the activities represent activities that can be performed using the computer system. For each context variable to be considered, a definition of a set of states to be considered is received, wherein the states represent situations in which the computer system can be. For each context variable to be considered, a specification of first probability distributions for each corresponding state is received. For each context variable to be considered, for each activity to be considered, a specification of second probability distributions to represent the likelihood of the activity being performed in the corresponding context is received. Usage data is generated using the first second probability distributions.
    • 接收要考虑的一组上下文变量的定义,其中上下文变量表示计算机系统可以在哪种情况下的类别。 还将收到要考虑的一组活动的定义,其中活动表示可以使用计算机系统执行的活动。 对于要考虑的每个上下文变量,接收要考虑的一组状态的定义,其中状态表示计算机系统可以在其中的情况。 对于要考虑的每个上下文变量,接收每个对应状态的第一概率分布的规范。 对于要考虑的每个上下文变量,对于要考虑的每个活动,接收到表示在相应上下文中执行活动的可能性的第二概率分布的规范。 使用数据使用第一个第二概率分布生成。
    • 10. 发明授权
    • Situation-aware thresholding for recommendation
    • 情境意识阈值推荐
    • US08112380B2
    • 2012-02-07
    • US13226309
    • 2011-09-06
    • Sangoh JeongDoreen ChengYu SongSwaroop Kalasapur
    • Sangoh JeongDoreen ChengYu SongSwaroop Kalasapur
    • G06F17/00G06N5/02
    • G06K9/6272G06N99/005
    • In one embodiment, data relating to usage patterns of the user is stored, wherein the data includes information as to items which were used and the context in which they were used. The data is then clustered into clusters of data points. Then a centroid is determined for each of the clusters. A cluster similar to a current context of the user is selected by comparing a data point representing the current context of the user to one or more of the centroids. For each of one or more items, a threshold based on values for a plurality of the centroids with respect to the corresponding item, wherein a threshold is used to compare with centroid value of an item in a selected cluster to determine whether to recommend the item.
    • 在一个实施例中,存储与用户的使用模式有关的数据,其中数据包括关于所使用的项目和使用它们的上下文的信息。 然后将数据聚类成数据点簇。 然后确定每个聚类的质心。 通过将表示用户的当前上下文的数据点与一个或多个质心相比较来选择类似于用户的当前上下文的集群。 对于一个或多个项目中的每一个,基于相对于相应项目的多个质心的值的阈值,其中阈值用于与所选择的集群中的项目的质心值进行比较,以确定是否推荐项目 。