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1. 发明申请

WO2008072140A2 RANKING OF FEATURES 审中-公开
标题翻译：功能排名
公开(公告)号：WO2008072140A2
公开(公告)日：2008-06-19
申请号：PCT/IB2007/054939
申请日：2007-12-06
申请人： KONINKLIJKE PHILIPS ELECTRONICS N.V. , JANEVSKI, Angel, A., J. , SCHAFFER, James, D. , SIMPSON, Mark, R.
发明人： JANEVSKI, Angel, A., J. , SCHAFFER, James, D. , SIMPSON, Mark, R.
IPC分类号： G06N3/12
CPC分类号： G06N3/126
摘要： The invention relates to a method of computing a rank of at least one feature from a pool of features, the method comprising: obtaining (1) a plurality of feature subsets, each feature subset comprising features from the pool of features; and computing (2) the rank of the at least one feature from the pool of features on the basis of an occurrence of the at least one feature in a feature subset. For example, the rank of the at least one feature may be based on the frequency of occurrence of the at least one feature in the plurality of feature subsets. Thus, the method may be advantageously applied to rank features from the pool of features. A new subset of features comprising the top-rank features, which are potentially more useful than a subset of features from the pool of features, may be created from the computed feature ranks values. There may be many other advantageous uses for such a list of ranked features from the pool of features.
摘要翻译：本发明涉及一种从特征池计算至少一个特征的等级的方法，该方法包括：获得（1）多个特征子集，每个特征子集包括来自特征池; 以及基于特征子集中的所述至少一个特征的发生来计算（2）来自所述特征池的所述至少一个特征的秩。例如，至少一个特征的秩可以基于多个特征子集中的至少一个特征的出现频率。因此，该方法可以有利地应用于从特征池中排列特征。可以根据所计算的特征等级值来创建包括顶级特征的新特征子集，其可能比来自特征池的特征子集更有用。对于这样的来自特征池的排名特征列表，可能有许多其他有利用途。

2. 发明申请

WO2003056824A1 HIERARCHICAL DECISION FUSION OF RECOMMENDER SCORES 审中-公开
标题翻译：推荐标准的分层决策融合
公开(公告)号：WO2003056824A1
公开(公告)日：2003-07-10
申请号：PCT/IB2002/005279
申请日：2002-12-09
申请人： KONINKLIJKE PHILIPS ELECTRONICS N.V.
发明人： BUCZAK, Anna , SCHAFFER, James, D.
IPC分类号： H04N7/16
CPC分类号： H04N21/4662 , H04N7/163 , H04N21/44222 , H04N21/4532 , H04N21/454 , H04N21/4668 , H04N21/8113
摘要： A method and system for providing hierarchical decision fusion of recommender scores, wherein at least two levels of fusion are provided. In a method, a plurality of recommenders at a first level are grouped according to topics of interest. A plurality of first level fusion centers receive a number of outputs from a predetermined number of recommenders. The first level fusion centers output a first enhanced decision level, and a series of second level fusion centers receive a predetermined number of the first enhanced decision, and a second fusing step occurs to result in a second enhanced decision level. The groups can be reading history, music, viewing history, purchasing history, and can be intermixed, so that the enhanced decision may recommend a particular movie based on both the ranking about movies and music.
摘要翻译：一种用于提供推荐者分数的分层决策融合的方法和系统，其中提供至少两个融合级别。在一种方法中，根据感兴趣的主题对第一级的多个推荐者进行分组。多个第一级融合中心从预定数量的推荐者接收多个输出。第一级融合中心输出第一增强决策级别，并且一系列第二级融合中心接收预定数量的第一增强决策，并且发生第二融合步骤以产生第二增强决策级别。组可以读取历史，音乐，观看历史，购买历史，并且可以混合，使得增强的决定可以基于关于电影和音乐的排名来推荐特定的电影。

3. 发明申请

WO2009010907A1 DECISION SUPPORT SYSTEM FOR ACUTE DYNAMIC DISEASES 审中-公开
标题翻译：急性动态疾病决策支持系统
公开(公告)号：WO2009010907A1
公开(公告)日：2009-01-22
申请号：PCT/IB2008/052800
申请日：2008-07-11
申请人： KONINKLIJKE PHILIPS ELECTRONICS N.V. , SCHAFFER, James, D. , SIMPSON, Mark, R. , CHBAT, Nicolas, W. , BANERJEE, Nilanjana , ALSAFADI, Yasser, H.
发明人： SCHAFFER, James, D. , SIMPSON, Mark, R. , CHBAT, Nicolas, W. , BANERJEE, Nilanjana , ALSAFADI, Yasser, H.
IPC分类号： G06F19/00
CPC分类号： G16H50/50 , G06F19/00
摘要： The present invention relates to a medical apparatus (901, 100) for assisting clinicians, nurses or other use.rs in choosing an intervention for the treatment of a patent suffering from an acute dynamic disease, e.g. sepsis. The medical apparatus is based on a method where a model of the disease is adapted or personalised to the patient. To ensure that the apparatus remains capable of predicting the health of the patient, the apparatus is continuously- provided with new patient values and the model is continuously adapted to the new patient values. Since the medical apparatus is configured to be continuously adapted to current state of health, the apparatus is able to assist the user by generating disease management information, e.g. suggestions for medications, to an output device (902, 104).
摘要翻译：本发明涉及一种医疗设备（901,100），用于帮助临床医生，护士或其他使用者选择用于治疗患有急性动态疾病的专利的干预措施，例如，败血症。该医疗装置是基于对患者的疾病模型进行适应或个性化的方法。为了确保该装置能够预测患者的健康状态，该装置被连续地提供新的患者值，并且该模型连续适应于新的患者值。由于医疗装置被配置为连续地适应当前健康状态，因此该装置能够通过产生疾病管理信息来辅助用户，例如，对药物的建议，输出设备（902,104）。

4. 发明申请

WO2003028368A1 REAL-TIME EVENT RECOMMENDATION SYSTEM AND METHOD FOR MEDIA PROGRAMMING USING PERSONAL SCHEDULE 审中-公开
标题翻译：实时活动推荐系统和使用个人时间表进行媒体编程的方法
公开(公告)号：WO2003028368A1
公开(公告)日：2003-04-03
申请号：PCT/IB2002/003696
申请日：2002-09-10
申请人： KONINKLIJKE PHILIPS ELECTRONICS N.V.
发明人： SCHAFFER, James, D. , TROVATO, Karen, I. , KURAPATI, Kaushal
IPC分类号： H04N5/445
CPC分类号： H04N21/4662 , H04N7/163 , H04N21/44218 , H04N21/44222 , H04N21/4532 , H04N21/454 , H04N21/4668 , H04N21/4755 , H04N21/4756
摘要： A recommendation system and method are disclosed. In the system and method, the personal schedule of the user is used to modify the recommendation functions of media events. The personal schedule may be entered by the user or determined through monitoring over time. An exemplary recommendation function modification is if a media event ends after the user's bedtime, as indicated by the personal schedule. In this example, the recommendation function of that event will be reduced in value because the user will likely go to bed before the event is over.
摘要翻译：公开了推荐系统和方法。在系统和方法中，用户的个人日程表用于修改媒体事件的推荐功能。个人时间表可以由用户输入或通过随时间的监视确定。示例性的推荐功能修改是如果媒体事件在用户的睡前时间结束，如个人日程表所示。在这个例子中，该事件的推荐功能将被降低，因为用户在事件结束之前可能会睡觉。

5. 发明申请

WO2003024108A1 FOUR-WAY RECOMMENDATION METHOD AND SYSTEM INCLUDING COLLABORATIVE FILTERING 审中-公开
标题翻译：四路推荐方法和系统，包括协同过滤
公开(公告)号：WO2003024108A1
公开(公告)日：2003-03-20
申请号：PCT/IB2002/003579
申请日：2002-08-29
申请人： KONINKLIJKE PHILIPS ELECTRONICS N.V.
发明人： SCHAFFER, James, D. , GUTTA, Srinivas, V., R. , KURAPATI, Kaushal
IPC分类号： H04N7/173
CPC分类号： H04N21/4661 , H04N7/17318 , H04N21/252 , H04N21/25891 , H04N21/44222 , H04N21/466 , H04N21/4663 , H04N21/4665 , H04N21/4668 , H04N21/4755 , H04N21/4756
摘要： A system employing an automated collaborative filtering method for providing a recommendation an item to a primary viewer (14) based upon feedback data (D3, D4, D12a-D12c, D15a-D15c), implicit data (D7, D8, D17a-D17c, D19a-D19c), and/or explicit data (D11, D21a-D21c) corresponding to the primary viewer (14) as well as other secondary viewers (15-17) is disclosed. A first act of the automated collaborative filtering process is to match data (D3, D4, D7, D8, D11) indicative of a viewing of a first group of items by the primary viewer (14) to data (D12a-D12c, D15a-D15c, D17a-D17c, D19a-D19c, D21a-D21c) indicative of a viewing of a second group of items by the group of secondary viewers (15-17). A second act of the automated collaborative filtering process is to generate a recommendation (D14, D16, D18, D20, D22, D23) of the unviewed item by the primary viewer (14) as a function of data (D13) indicative of one or more attributes of the item as compared to the data matching accomplished in the first act.
摘要翻译：一种使用自动协同过滤方法的系统，用于基于反馈数据（D3，D4，D12a-D12c，D15a-D15c），隐含数据（D7，D8，D17a-D17c）向主观看者（14） D19a-D19c）和/或对应于主查看器（14）的显式数据（D11，D21a-D21c）以及其他辅助查看器（15-17）。自动协同过滤处理的第一动作是将指示主要观看者（14）的第一组项目的观看的数据（D3，D4，D7，D8，D11）与数据（D12a-D12c，D15a- D15c，D17a-D17c，D19a-D19c，D21a-D21c），其指示由次观看者组（15-17）观看第二组物品。自动化协同过滤过程的第二个动作是根据主要观看者（14）生成未被查看的项目的推荐（D14，D16，D18，D20，D22，D23）作为数据（D13）的函数，该数据指示一个或与第一动作中完成的数据匹配相比，项目的更多属性。

6. 发明申请

WO2002100104A2 NEAREST NEIGHBOR RECOMMENDATION METHOD AND SYSTEM 审中-公开
标题翻译：最近的邻里建议方法和系统
公开(公告)号：WO2002100104A2
公开(公告)日：2002-12-12
申请号：PCT/IB2002/002087
申请日：2002-06-06
申请人： KONINKLIJKE PHILIPS ELECTRONICS N.V.
发明人： GUTTA, Srinivas, V., R. , SCHAFFER, James, D. , KURAPATI, Kaushal
IPC分类号： H04N7/16
CPC分类号： H04N21/466 , H04N7/163 , H04N21/4662 , H04N21/4668
摘要： A program recommendation system (30) employing a program record module (37) and one of various nearest neighbor modules (38-40) is disclosed. In response to a reception of a program record (PR1), the program record module (37)converts each key field of the program record (PR1) into a feature value. A single neighbor module (38) selectively generates a recommendation of a program corresponding to the program record (PR1) based upon a stored program record qualifying as a nearest neighbor of the received program record (PR1). A multiple neighbor module (39) selectively generates a recommendation of the program corresponding to the program record (PR1) based upon N number of stored program records qualifying as N number of nearest neighbors of the received program record (PR1). A neighbor cluster (40) selectively generates a recommendation of the program corresponding to the program record (PR1) based upon the cluster of stored program records qualifying as the nearest neighbor of the received program record (PR1).
摘要翻译：公开了一种采用程序记录模块（37）和各种最近邻模块（38-40）之一的程序推荐系统（30）。响应于程序记录（PR1）的接收，程序记录模块（37）将程序记录（PR1）的每个键字段转换为特征值。单个邻居模块（38）基于被限定为所接收的节目记录（PR1）的最近邻居的所存储的节目记录，选择性地生成与节目记录（PR1）相对应的节目的推荐。多邻居模块（39）根据接收到的节目记录（PR1）的N个最近相邻的N个存储节目记录，有选择地生成与节目记录（PR1）对应的节目的推荐。相邻群集（40）基于所述存储的节目记录集合，选择性地生成与节目记录（PR1）相对应的节目的推荐，所述节目记录集合被作为接收节目记录（PR1）的最近邻居。

7. 发明申请

WO2002100103A2 EXPERT MODEL RECOMMENDATION METHOD AND SYSTEM 审中-公开
标题翻译：专家推荐方法和系统
公开(公告)号：WO2002100103A2
公开(公告)日：2002-12-12
申请号：PCT/IB2002/001994
申请日：2002-06-03
申请人： KONINKLIJKE PHILIPS ELECTRONICS N.V.
发明人： GUTTA, Srinivas, V., R. , KUPAPATI, Kaushal , SCHAFFER, James, D.
IPC分类号： H04N7/16
CPC分类号： H04N21/4665 , H04N7/16 , H04N21/4532 , H04N21/454 , H04N21/4668 , H04N21/84
摘要： A program recommendation system (30) employing a plurality of classifier modules (36, 37) is disclosed. In response to a reception of a record (17) correspond to a program, a classifier module correlated to a programming category indicated by the record as corresponding to the program will generate a recommendation of the program or each classifier module generates a recommendation of the program when the record fails to indicate a programming category corresponding to the program. When multiple recommendations are generated, a program record module (35) of the system (30) ranks the recommendations and utilizes the highest rank recommendation for the program.
摘要翻译：公开了一种采用多个分类器模块（36,37）的程序推荐系统（30）。响应于对应于程序的记录（17）的接收，与由程序指示的编程类别相关联的分类器模块将生成程序的推荐，或者每个分类器模块生成程序的推荐当记录未能指示对应于程序的编程类别时。当产生多个建议时，系统（30）的程序记录模块（35）对建议进行排序并利用程序的最高等级推荐。

8. 发明申请

WO2002080532A1 METHODS AND APPARATUS FOR GENERATING RECOMMENDATION SCORES 审中-公开
标题翻译：产生推荐标准的方法和装置
公开(公告)号：WO2002080532A1
公开(公告)日：2002-10-10
申请号：PCT/IB2002/001039
申请日：2002-03-28
申请人： KONINKLIJKE PHILIPS ELECTRONICS N.V.
发明人： GUTTA, Srinivas, V., R. , KURAPATI, Kaushal , SCHAFFER, James, D.
IPC分类号： H04N5/445
CPC分类号： H04N5/44543 , H04N7/163 , H04N21/44222 , H04N21/4532 , H04N21/454 , H04N21/466 , H04N21/4662 , H04N21/4663 , H04N21/4665 , H04N21/4668 , H04N21/4755 , H04N21/4756
摘要： Methods and apparatuses for recommending television programs are provided. The methods provided include obtaining a list of one or more television programs to at least three different program recommenders, obtaining from each recommender a recommendation score, and computing a combined recommendation score by applying a voting process. The combined recommendation score is then presented to a user, who, based thereon, can select a television program of interest. The voting process is a stochastic method including a Bayesian method, a hierarchical decision tree, a memory based learning process, a rule based learning process, a neural network or a hidden markov model. The enumerated stochastic processes can be further combined according to a combination scheme including a unison scheme, a majority scheme, a trust scheme, an averaging scheme or mixture thereof.
摘要翻译：提供了用于推荐电视节目的方法和装置。所提供的方法包括获得至少三个不同节目推荐者的一个或多个电视节目的列表，从每个推荐者获得推荐得分，以及通过应用投票过程来计算组合的推荐得分。然后将组合推荐得分呈现给用户，基于此，用户可以选择感兴趣的电视节目。投票过程是包括贝叶斯方法，分层决策树，基于记忆的学习过程，基于规则的学习过程，神经网络或隐马尔可夫模型的随机方法。枚举的随机过程可以根据包括一致方案，多数方案，信任方案，平均方案或其混合的组合方案进一步组合。

9. 发明申请

WO2003065727A1 SUBSCRIPTION TO TV CHANNELS/SHOWS BASED ON RECOMMENDATION GENERATED BY A TV RECOMMENDER 审中-公开
标题翻译：根据电视推荐者推荐推荐的电视频道/展示
公开(公告)号：WO2003065727A1
公开(公告)日：2003-08-07
申请号：PCT/IB2003/000193
申请日：2003-01-24
申请人： KONINKLIJKE PHILIPS ELECTRONICS N.V.
发明人： GUTTA, Srinivas, V., R. , SCHAFFER, James, D. , ESHELMAN, Larry, J.
IPC分类号： H04N7/173
CPC分类号： H04N21/44222 , H04N5/44543 , H04N21/4334 , H04N21/4532 , H04N21/4668 , H04N21/482 , H04N21/4826
摘要： A system and method for subscribing TV programs according to the preferences of the user based on the user's past viewing history. The system keeps track of all the programs watched by the user to generate a profile indicative of the frequency of a particular program being watched. Then, a plurality of subscription plans based on the viewer's viewing habit stored in the user profile is offered to the user, so that the user can selectively pay for the programs of his or her interest, instead of paying for the entire programs.
摘要翻译：一种用于基于用户的过去观看历史根据用户偏好订阅电视节目的系统和方法。系统跟踪用户观看的所有节目，以生成指示正在观看的特定节目的频率的简档。然后，向用户提供基于存储在用户简档中的观众观看习惯的多个订阅计划，使得用户可以选择性地支付他或她的兴趣的节目，而不是为整个节目付费。

10. 发明申请

WO2002080059A2 ADAPTIVE SAMPLING TECHNIQUE FOR SELECTING NEGATIVE EXAMPLES FOR ARTIFICIAL INTELLIGENCE APPLICATIONS 审中-公开
标题翻译：选择人为智能应用的负面实例的自适应采样技术
公开(公告)号：WO2002080059A2
公开(公告)日：2002-10-10
申请号：PCT/IB2002/001056
申请日：2002-03-25
申请人： KONINKLIJKE PHILIPS ELECTRONICS N.V.
发明人： GUTTA, Srinivas, V., R. , LEE, Kwok, P. , SCHAFFER, James, D.
IPC分类号： G06F17/60
CPC分类号： G06N99/005
摘要： Artificial intelligence applications require use of training sets containing positive and negative examples. Negative examples are chosen using distributions of positive examples with respect to a dominant feature in feature space. Negative examples should share or approximately share, with the positive examples, values of a dominant feature in feature space. This type of training set is illustrated with respect to content recommenders, especially recommenders for television shows.
摘要翻译：人工智能应用需要使用包含正面和负面实例的训练集。使用关于特征空间中的主要特征的正例子的分布来选择负例子。负面例子应该与积极的例子分享或大致分享特征空间中主要特征的价值。关于内容推荐者，特别是电视节目的推荐者，说明了这种类型的训练集。

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