公开(公告)号：US20100241647A1

公开(公告)日：2010-09-23

申请号：US12408726

申请日：2009-03-23

申请人： Alexandros Ntoulas ,  Heasoo Hwang ,  Lise C. Getoor ,  Stelios Paparizos ,  Hady Wirawan Lauw

发明人： Alexandros Ntoulas ,  Heasoo Hwang ,  Lise C. Getoor ,  Stelios Paparizos ,  Hady Wirawan Lauw

IPC分类号： G06F17/30

CPC分类号： G06F16/24575

摘要： Described is a search-related technology in which context information regarding a user's prior search actions is used in making query recommendations for a current user action, such as a query or click. To determine whether each set or subset of context information is relevant to the user action, data obtained from a query log is evaluated. More particularly, a query transition (query-query) graph and a query click (query-URL) graph are extracted from the query log; vectors are computed for the current action and each context/sub-context and evaluated against vectors in the graphs to determine current action-to-context similarity. Also described is using similar context to provide the query recommendations, using parameters to control the similarity strictness, and/or whether more recent context information is more relevant than less recent context information, and using context information to distinguish between user sessions.

摘要翻译： 描述了一种搜索相关技术，其中关于用户的先前搜索动作的上下文信息被用于为诸如查询或点击的当前用户动作提供查询建议。 为了确定上下文信息的每个集合或子集是否与用户操作相关，评估从查询日志获得的数据。 更具体地，从查询日志中提取查询转换（查询查询）图和查询点击（查询 - URL）图; 针对当前动作和每个上下文/子上下文计算向量，并针对图中的向量进行评估，以确定当前的动作到上下文相似性。 还描述了使用类似的上下文来提供查询建议，使用参数来控制相似性严格性，和/或更新的上下文信息是否比较近的上下文信息更相关，并且使用上下文信息来区分用户会话。