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    • 4. 发明申请
    • SOCIALLY COLLABORATIVE FILTERING
    • 社会协同过滤
    • US20090144780A1
    • 2009-06-04
    • US11947298
    • 2007-11-29
    • JOHN TOEBESAri Daniel ScheinmanEric Chan
    • JOHN TOEBESAri Daniel ScheinmanEric Chan
    • H04N7/173
    • G06F17/30699G06Q10/00G06Q30/06
    • In one embodiment, a method comprises identifying user selection preferences of an identified user having accessed the network, the identifying based on an accumulation of user selection inputs executed by the identified user, relative to input options presented to the user and identifying respective available network items, the accumulation including an identification of the input options not having been selected by the identified user; determining a group of network users having a highest correlation of shared interests with the identified user, based on identifying preferred network items for the identified user, and identifying first network users providing highest relative user affinity values for each of the preferred network items; and determining at least one of new network items most likely to be preferred by the identified user, based on determining, from among network items not presented to the identifier user, the preferred network items for each of the first network users in the group.
    • 在一个实施例中,一种方法包括识别已经访问了网络的已识别用户的用户选择偏好,基于由所识别的用户执行的用户选择输入的累积,相对于呈现给用户的输入选项来识别,并且识别相应的可用网络项 所述累积包括未被所识别的用户选择的所述输入选项的标识; 基于识别所识别的用户的优选网络项,确定与所识别的用户具有最高共享兴趣相关性的一组网络用户,以及识别为每个所述优选网络项提供最高相对用户亲和度值的第一网络用户; 以及基于从未向所述标识符用户呈现的网络项目中确定所述组中的每个所述第一网络用户的优选网络项目,来确定所识别的用户最可能优选的新网络项目中的至少一个。