公开(公告)号：US06338051B1

公开(公告)日：2002-01-08

申请号：US09301317

申请日：1999-04-29

申请人： Ho-seok Kang ,  Sun-wha Chung ,  Kwang-hyung Lee ,  Joo-young Yoon ,  Kyoung-a Sung

发明人： Ho-seok Kang ,  Sun-wha Chung ,  Kwang-hyung Lee ,  Joo-young Yoon ,  Kyoung-a Sung

IPC分类号： G06F1518

CPC分类号： G06Q30/02

摘要： A user preference modeling method using fuzzy networks. The user preference modeling method includes the steps of: (a) changing a user modeling structure into a fuzzy network structure in which a plurality of layers including one or more graphs with one or more nodes are stacked; (b) when information is input from a user, searching a node directly associated with the input information on the fuzzy networks, and calculating a new preference for the node with a predetermined equation; (c) calculating connection strengths among each node in a graph to which the node belongs according to the new preference obtained in step (b) and calculating a new preference for each node of the graph according to the connection strengths; (d) when a node of the graph to which the node searched in step (b) belongs is a macro node of a graph of a lower layer, and a node is defined as the macro node if a graph of a lower layer defines sub-regions of the node, transferring a first message as preference change information from the macro node to the graph of the lower layer; (e) when the graph to which the node searched in step (b) belongs has a macro node in an upper layer, transferring a second message to the macro node, as preference change information for all nodes of the graph to which the node belongs; (f) when a graph receives the first message from a macro node, calculating a new preference for all nodes in the graph that has received the first message, and when a node of the graph that has received the first message is a macro node of a graph of a lower layer, transferring a first message as preference change information to the graph of the lower layer; and (g) when a node receives the second message from a graph of a lower layer, calculating a new preference for the node that has received the second message and performing steps (c) through (e) to other nodes.

摘要翻译： 一种使用模糊网络的用户偏好建模方法。 用户偏好建模方法包括以下步骤：（a）将用户建模结构改变为模糊网络结构，其中包括具有一个或多个节点的一个或多个图形的多个层被堆叠; （b）当从用户输入信息时，搜索与所述模糊网络上的输入信息直接相关联的节点，并且以预定方程计算所述节点的新偏好; （c）根据步骤（b）中获得的新偏好计算节点所属的图中每个节点之间的连接强度，并根据连接强度计算图的每个节点的新偏好; （d）当在步骤（b）中搜索到的节点所属的图的节点是下层的图的宏节点时，如果下层的图定义子节点，则将节点定义为宏节点 所述节点的区域，将第一消息作为偏好改变信息从所述宏节点转移到所述下层的图形; （e）当在步骤（b）中搜索的节点所属的图形具有上层的宏节点时，将第二消息传送到宏节点作为节点所属图形的所有节点的偏好改变信息 ; （f）当图形从宏节点接收到第一消息时，计算已经接收到第一消息的图中所有节点的新偏好，并且当接收到第一消息的图的节点是 下层的图形，将第一消息作为偏好改变信息传送到下层的图形; 以及（g）当节点从较低层的图形接收到第二消息时，计算已经接收到第二消息的节点的新偏好，并且执行步骤（c）至（e）到其他节点。