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    • 1. 发明授权
    • Viewing behavior learning apparatus
    • 观看行为学习装置
    • US08789080B2
    • 2014-07-22
    • US12235630
    • 2008-09-23
    • Kouichirou MoriTomoko MurakamiRyohei Orihara
    • Kouichirou MoriTomoko MurakamiRyohei Orihara
    • H04H60/33
    • 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。
    • 3. 发明申请
    • FREQUENT PATTERN MINING SYSTEM
    • 常规模式采矿系统
    • US20080126347A1
    • 2008-05-29
    • US11945823
    • 2007-11-27
    • Kouichirou Mori
    • Kouichirou Mori
    • G06F17/30
    • G06F16/2465
    • A frequent pattern mining system includes: a candidate pattern generation unit for generating a candidate record set having one record or more as an element, generating a candidate item set by extracting the items that belong commonly to respective records, and calculating a length of the candidate item set; a pattern removing unit for removing the candidate record set corresponding to the candidate item set whose pattern length is below the minimum pattern length; a frequent pattern generation unit for extracting all subsets whose pattern length is more than the minimum pattern length from the candidate item set; and the candidate record set generation unit that generates repeatedly an union of sets of two candidate record sets, in which only one element is different mutually, from the candidate record set, a number of records of which is largest, as a new candidate record set until the new candidate record set is not generated.
    • 频繁模式挖掘系统包括:候选模式生成单元,用于生成具有一个或更多个作为元素的候选记录集,通过提取属于各个记录的共同项目来生成候选项集,并计算候选者的长度 物品集 图案去除单元,用于去除对应于图案长度低于最小图案长度的候选项集合的候选记录集; 频繁模式生成单元,用于从所述候选项集合中提取其模式长度大于所述最小模式长度的所有子集; 以及所述候选记录集生成单元,从候选记录集的记录数最多的两个候选记录集合中只有一个元素相互不相互组合,作为新的候选记录集合 直到不生成新的候选记录集。
    • 4. 发明申请
    • PROGRAM SEARCHING APPARATUS AND PROGRAM SEARCHING METHOD
    • 程序搜索设备和程序搜索方法
    • US20090043760A1
    • 2009-02-12
    • US12186833
    • 2008-08-06
    • Ryohei OriharaTomoko MurakamiKouichirou Mori
    • Ryohei OriharaTomoko MurakamiKouichirou Mori
    • G06F17/30
    • H04N7/17318H04N5/44513H04N5/50H04N21/44008H04N21/4532H04N21/454H04N21/466H04N21/4667H04N21/482H04N21/4826H04N21/4828H04N21/84
    • There is provided with a program searching apparatus, including: an extracting unit extracting words or phrases described in plural program information as keywords; an identifying unit identifying categories to which the keywords belongs; a first calculating unit calculating a number of program information containing the keywords as first information; a second calculating unit calculating a number of keywords that belong to the categories as second information; a specifying unit specifying one program as a search query; a weight calculating unit calculating, for each of query keywords extracted from program information of the search query, a weight based on the first and second information; a similarity calculating unit calculating a similarity level to the search query with respect to a search target program according to the weight corresponding to a query keyword included in the program information of the search target program.
    • 提供了一种程序搜索装置,包括:提取单元,将以多个节目信息描述的单词或短语提取为关键词; 识别关键字所属类别的识别单元; 第一计算单元,计算包含所述关键字的节目信息的数量作为第一信息; 第二计算单元,将属于该类别的关键词的数量计算为第二信息; 指定单元,指定一个程序作为搜索查询; 权重计算单元,对于从所述搜索查询的节目信息中提取的每个查询关键字,计算基于所述第一和第二信息的权重; 相似度计算单元,根据与搜索目标程序的节目信息中包含的查询关键字对应的权重,针对搜索目标程序,计算与搜索查询相似度的相似度。
    • 5. 发明授权
    • Registering metadata apparatus
    • 注册元数据设备
    • US09076069B2
    • 2015-07-07
    • US13046941
    • 2011-03-14
    • Kouichirou Mori
    • Kouichirou Mori
    • G06K9/46G06K9/66G06K9/50G06K9/32G06K9/60G06T7/00H04N5/445G06F17/30G09G5/00
    • G06K9/4671G06F17/30268G06T7/33H04N5/44504H04N21/21805H04N21/23109H04N21/26603H04N21/2665H04N21/42224H04N21/6547H04N21/6582H04N21/84
    • An adding metadata apparatus includes a first acquisition unit which acquires a first image, first metadata, and a first position within the first image, the first position being for displaying the first metadata; an extraction unit which extracts local features from the first image; a calculation unit which searches for a group of the local features within a predetermined distance from the first position, and calculates a representative point of the group; a search unit which matches the first image with a plurality of images stored in a database by using the local features, and searches for a second image which coincides with the local features; and a registration unit which calculates a second position, within the second image, corresponding to the representative point, and registers the second position and the first metadata as metadata for the second image.
    • 添加元数据装置包括:第一获取单元,其获取第一图像,第一元数据和第一图像内的第一位置,第一位置用于显示第一元数据; 提取单元,其从第一图像中提取局部特征; 计算单元,其在距离所述第一位置的预定距离内搜索一组所述局部特征,并计算所述组的代表点; 搜索单元,其通过使用所述局部特征与所述第一图像与存储在数据库中的多个图像相匹配,并且搜索与所述局部特征一致的第二图像; 以及注册单元,其计算在所述第二图像内对应于所述代表点的第二位置,并将所述第二位置和所述第一元数据作为所述第二图像的元数据进行登记。
    • 8. 发明申请
    • HYBRID CONTENT RECOMMENDING SERVER, SYSTEM, AND METHOD
    • 混合内容推荐服务器,系统和方法
    • US20100070507A1
    • 2010-03-18
    • US12404508
    • 2009-03-16
    • Kouichirou Mori
    • Kouichirou Mori
    • G06F17/30G06F7/00
    • G06F16/9535
    • A content recommending server includes: a content information collecting section collecting content information including metadata of contents from a content server through a network; a content database storing the content information collected by the content information collecting section; a user profile collecting section collecting user profiles of users from user terminals through the network, each of the user profiles including each user's preference; a user profile database storing the user profiles, the user profiles including a subject user profile; a content indexer acquiring the metadata and generating content indices of the contents; a user indexer acquiring the user profiles from the user profile database and generating user indices of each of the users; an index database storing the content indices and the user indices; and a content recommending section receiving the subject user profile, searching the index database for an certain index corresponding to the subject user profile, and determining a recommend content.
    • 内容推荐服务器包括:内容信息收集部,通过网络从内容服务器收集包含内容的元数据的内容信息; 存储由内容信息收集部收集的内容信息的内容数据库; 用户简档收集部分,通过网络从用户终端收集用户的用户简档,每个用户简档包括每个用户的偏好; 存储用户简档的用户简档数据,所述用户简档包括主题用户简档; 内容索引器,获取元数据并生成内容的内容索引; 用户索引器从用户简档数据库获取用户简档并生成每个用户的用户索引; 存储内容索引和用户索引的索引数据库; 以及内容推荐部分,其接收所述主题用户简档,在所述索引数据库中搜索与所述主题用户简档相对应的特定索引,以及确定推荐内容。
    • 9. 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。