SYSTEM AND METHODS FOR PROTECTING THE PRIVACY OF USER INFORMATION IN A RECOMMENDATION SYSTEM
    3.
    发明公开
    SYSTEM AND METHODS FOR PROTECTING THE PRIVACY OF USER INFORMATION IN A RECOMMENDATION SYSTEM 审中-公开
    系统和方法的用户信息在推荐系统的隐私

    公开(公告)号:EP2507758A4

    公开(公告)日:2013-11-27

    申请号:EP09851810

    申请日:2009-12-04

    CPC classification number: G06F21/6254 G06Q30/02 G06Q30/0282

    Abstract: The invention provides an improved recommender system that includes a client device or service provider server, a trusted function handler module and a recommender module. The recommender system functions to protect the privacy of user rating information maintained by the node (i.e., client device/server) by having the node transform the user rating information using a specific function selected by the function handler and then provide the transformed user rating information to the recommender module. In this way, privacy of the user rating information is maintained because the original user rating information will be unknown to a recommender module.

    PROVIDING CONTENT BY USING A SOCIAL NETWORK
    4.
    发明公开
    PROVIDING CONTENT BY USING A SOCIAL NETWORK 审中-公开
    内容供给BY社交网络的使用

    公开(公告)号:EP2454867A4

    公开(公告)日:2014-03-05

    申请号:EP09847413

    申请日:2009-07-16

    CPC classification number: G06Q30/02 H04L67/02 H04L67/104

    Abstract: A method of providing content (130) associated with a weight-value, the content (130) previously provided to a current computer associated with a current user (116) that is represented by a first node (106) in a social network (101). The method comprises the steps of: i) enabling the current computer (216) to display the content (130), in dependence of the weight-value, ii) obtaining an input of the current user (116), iii) updating the weight-value of the content (130), in dependence of the input of the current user (116), iv) determining a receiving computer associated with a second node (107) in the social network (101), and v) providing the content (130) to the receiving computer. Corresponding computers, computer program and computer readable medium are also described.

    METHOD AND APPARATUS FOR DEFAULT RATING ESTIMATION

    公开(公告)号:CA2741085A1

    公开(公告)日:2010-04-22

    申请号:CA2741085

    申请日:2008-10-17

    Abstract: A method of estimating a default rating of a rated dataset is provided, where the dataset comprises at least one series of ratings associated with at least one user and each series comprise ratings associated with at least two items. For a reference user and an item for which a rated value is missing the item' s average rating, ir, the reference users average rating, R u , and the datasets average rating, dr, is collected. A Poisson distribution of the reference users rating is then generated on the basis of the reference users average rating. A random Poisson rating, ur, is calculated on the basis of the Poisson distribution, and a default rating, r, is estimated by weighting the random Poisson rating on the basis of the items average rating, the users average rating and the datasets average rating.

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