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    • 3. 发明申请
    • PROGRAM RECOMMENDING APPARATUS AND PROGRAM RECOMMENDING METHOD
    • 计划推荐设备和程序推荐方法
    • US20090228424A1
    • 2009-09-10
    • US12399149
    • 2009-03-06
    • Kouichirou MoriTomoko MurakamiRyohei Orihara
    • Kouichirou MoriTomoko MurakamiRyohei Orihara
    • G06N5/02G06F15/18
    • H04N7/163H04H60/31H04H60/46H04H60/47H04H60/65H04H60/72H04N21/4667H04N21/4668
    • An apparatus includes: a module configured to extract category information and program abstracts of programs contained in an electronic program guide, extract program-specific terms from the program abstracts by morphological analysis and combine the category information and the program-specific terms to generate category-added terms; a module configured to analyze a history of programs viewed by a user based on the generated category-added terms to generate a preference vector indicating user's preferences for programs; a module analyzing the program abstracts based on the category-added terms to generate broadcast program vectors; a module generating a relevant term model for the category-added terms; a module calculating similarities between the preference vector and each of the broadcast program vectors based on the generated relevant term model; and a module outputting programs having the calculated similarities satisfying a predetermined condition as recommended programs matching with the user's preferences.
    • 一种装置,包括:被配置为提取电子节目指南中包含的节目的类别信息和节目摘要的模块,通过形态分析从节目抽象中提取节目特定的术语,并组合类别信息和节目特定术语, 附加条款; 模块,其被配置为基于所生成的类别添加项来分析用户查看的节目的历史,以生成指示用户对节目的偏好的偏好向量; 基于类别添加项分析程序摘要以生成广播节目向量的模块; 产生类别增加条款的相关术语模型的模块; 基于生成的相关项模型来计算偏好向量和每个广播节目向量之间的相似度的模块; 以及输出具有满足预定条件的计算出的相似度的程序作为与用户偏好匹配的推荐程序的模块。
    • 5. 发明申请
    • VIEWING BEHAVIOR LEARNING APPARATUS
    • 查看行为学习设备
    • US20090106786A1
    • 2009-04-23
    • US12235630
    • 2008-09-23
    • Kouichirou MoriTomoko MurakamiRyohei Orihara
    • Kouichirou MoriTomoko MurakamiRyohei Orihara
    • H04N7/16
    • H04N7/163H04N21/4532H04N21/466H04N21/4663H04N21/4667H04N21/4668
    • A viewing behavior learning apparatus includes: a viewing history acquiring unit that acquires a viewing record that indicates an attribute of a program and start and end times during which a viewer viewed the program; a viewing history dividing unit that divides the viewing record every discretized time points that is discretized by a unit time; a viewing history replicating unit that discretizes a viewing time period denoted by the divided viewing records by interval shorter than the unit time to obtain discretized viewing time periods; a viewing behavior storage unit that builds a model of the viewing behavior by use of a Bayesian network having the viewing time period and the attribute as random variables and stores a conditional probability table of the Bayesian network; and a viewing behavior updating unit that updates the conditional probability table using the discretized viewing time periods.
    • 观看行为学习装置包括:观看历史获取单元,其获取指示节目的属性的观看记录和观众观看节目的开始和结束时间; 观看历史分割单元,其将每个离散时间点的离散时间点分割为单位时间的观看记录; 观看历史复制单元,其将由分割的观看记录表示的观看时间段离散化,以便比单位时间短的间隔获得离散的观看时段; 观察行为存储单元,其通过使用具有观看时间段的贝叶斯网络和该属性作为随机变量来建立观看行为的模型,并存储贝叶斯网络的条件概率表; 以及观看行为更新单元,其使用离散的观看时段来更新条件概率表。
    • 7. 发明申请
    • Recommended program information providing method and apparatus
    • 推荐节目信息提供方法和装置
    • US20070288965A1
    • 2007-12-13
    • US11723188
    • 2007-03-16
    • Tomoko MurakamiRyohei Orihara
    • Tomoko MurakamiRyohei Orihara
    • H04N5/445
    • H04N5/44543H04N21/44222H04N21/4663H04N21/4667H04N21/4668H04N21/4826H04N21/84
    • An apparatus stores history information of user in first memory, history information including viewing results corresponding to broadcast programs broadcast in the past, each viewing result indicating whether user views or not corresponding one of broadcast programs, stores, in second memory, preference model describing causal relationship between viewing results of user and causes leading to viewing results, stores, in third memory, program guide information including information concerning programs to be broadcast, calculates recommendation degree of each program to be broadcast based on preference model and program guide information, selects, from programs to be broadcast, recommended program based on recommendation degree of each program to be broadcast and viewing result in the history information, viewing result corresponding to one of broadcast programs having specific relationship with each of the programs to be broadcast in predetermined period in the past, and generates recommended program information including information concerning recommended program.
    • 设备将用户的历史信息存储在第一存储器中,历史信息包括与过去广播的广播节目相对应的观看结果的历史信息,每个观看结果指示广播节目中的用户视图或不对应的一个广播节目,存储在第二存储器中,描述因果关系的偏好模型 用户的观看结果与导致查看结果的原因之间的关系,在第三存储器中存储包括关于要广播的节目的信息的节目指南信息,基于偏好模型和节目指南信息来计算要广播的每个节目的推荐程度, 从要广播的节目,基于要广播的每个节目的推荐程度的推荐节目和观看结果的历史信息,与在具有特定关系的广播节目中的一个节目相关联的观看结果,每个节目将在预定时间段内被广播 过去,并生成推荐 补充程序信息,包括有关推荐程序的信息。
    • 8. 发明申请
    • Multidimensional data display program
    • 多维数据显示程序
    • US20070211060A1
    • 2007-09-13
    • US11797939
    • 2007-05-09
    • Akihiro SuyamaTomoko MurakamiShigeaki SakuraiRyohei Orihara
    • Akihiro SuyamaTomoko MurakamiShigeaki SakuraiRyohei Orihara
    • G06T11/20
    • G06F17/30592G06F3/0482G06F17/30554G06Q30/02Y10S707/99943
    • A method for displaying multidimensional data on a screen of a display device, includes assigning a first dimension element, having been selected by a user from among the multidimensional data, to an axis; giving weights to a plurality of member regions using a function of number of data belonging to respective members of the first dimension element; defining the weighted member regions as a plurality of regions on the axis, which are partitioned for the respective members of the first dimension element; arranging the weighted member regions within the screen to form a table; and displaying, in each cell region corresponding to the weighted member region, data belonging to each cell region and belonging to a second dimension element having been selected by the user from among the multidimensional data. The second dimension element is different from the first dimension element.
    • 一种用于在显示设备的屏幕上显示多维数据的方法,包括:将从多维数据中选择的用户的第一维度元素分配给轴; 使用属于所述第一维度元素的相应部件的数据的数量的函数向多个成员区域赋予权重; 将所述加权构件区域定义为所述轴线上的多个区域,所述多个区域被划分为所述第一维度元件的各个构件; 将加权的成员区域布置在屏幕内以形成表格; 并且在与所述加权成员区域对应的每个单元区域中,显示属于每个单元区域并属于已被所述用户从所述多维数据中选择的第二维度元素的数据。 第二维度元素与第一维度元素不同。
    • 10. 发明授权
    • Apparatus and method for recommending information, and non-transitory computer readable medium thereof
    • 用于推荐信息的装置和方法及其非暂时计算机可读介质
    • US09055340B2
    • 2015-06-09
    • US13413767
    • 2012-03-07
    • Tomoko Murakami
    • Tomoko Murakami
    • G06F17/30H04N21/475H04N21/25H04N21/2668H04N21/482H04N21/658
    • H04N21/4755H04N21/252H04N21/2668H04N21/4826H04N21/6582
    • According to one embodiment, profile information of new user and items to be selected are inputted. Each item has an attribute value of a plurality of attributes. Profile information and preference information of a plurality of users are acquired. The preference information represents whether each user has selected each item. The plurality of users is classified into a plurality of clusters by the profile information and the preference information of the plurality of users. A parameter of each attribute of each cluster is calculated by the preference information of each cluster. A similar cluster to classify the new user is estimated from the plurality of clusters by the profile information of the new user. A preference degree of each item is calculated by the parameter of each attribute of the similar cluster and the attribute value of each item. An item to be recommended is decided by the preference degree.
    • 根据一个实施例,输入新用户的简档信息和要选择的项目。 每个项目具有多个属性的属性值。 获取多个用户的简档信息和偏好信息。 偏好信息表示每个用户是否选择了每个项目。 多个用户通过简档信息和多个用户的偏好信息被分类为多个聚类。 每个集群的每个属性的参数由每个集群的偏好信息计算。 通过新用户的简档信息,从多个集群估计用于分类新用户的类似集群。 每个项目的偏好度由相似集群的每个属性的参数和每个项目的属性值计算。 推荐的项目由偏好度决定。