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    • 1. 发明申请
    • GENERATING ANONYMOUS LOG ENTRIES
    • 产生匿名登录
    • US20090198746A1
    • 2009-08-06
    • US12024989
    • 2008-02-01
    • Michael D. HintzeFrederic H. Behr, JR.Randall F. KernZijian ZhengKimberly J. Howell
    • Michael D. HintzeFrederic H. Behr, JR.Randall F. KernZijian ZhengKimberly J. Howell
    • G06F17/30
    • G06F17/30
    • Assigning session identifications to log entries and generating anonymous log entries are provided. In order to balance users' privacy concerns with the need for analysis of the log entries to provide high quality search results, non-user-specific data fields, such as a user's location (e.g., city, state, and latitude/longitude) and connection speed, are inserted into the log entries, and user-specific data fields, such as the IP address and cookie identifications, are deleted from the log entries. In addition or alternatively, prior to anonymization of the log entries, session identifications are assigned to identified groups of log entries. The groups are identified based on factors such as the user's identification, the IP address, the time of search, and differences between the search terms used in the search queries.
    • 为会话标识分配日志条目和生成匿名日志条目。 为了平衡用户的隐私问题,需要分析日志条目以提供高质量的搜索结果,非用户特定的数据字段(例如用户的位置(例如城市,州和纬度/经度))和 连接速度被插入到日志条目中,并且从日志条目中删除用户特定的数据字段,例如IP地址和cookie标识。 另外或替代地,在匿名日志条目之前,将会话标识分配给所识别的日志条目组。 基于用户的识别,IP地址,搜索时间以及搜索查询中使用的搜索词之间的差异来确定组。
    • 3. 发明授权
    • Generating anonymous log entries
    • 生成匿名日志条目
    • US07937383B2
    • 2011-05-03
    • US12024989
    • 2008-02-01
    • Michael D. HintzeFrederic H. Behr, Jr.Randall F. KernZijian ZhengKimberly J. Howell
    • Michael D. HintzeFrederic H. Behr, Jr.Randall F. KernZijian ZhengKimberly J. Howell
    • G06F17/30
    • G06F17/30
    • Assigning session identifications to log entries and generating anonymous log entries are provided. In order to balance users' privacy concerns with the need for analysis of the log entries to provide high quality search results, non-user-specific data fields, such as a user's location (e.g., city, state, and latitude/longitude) and connection speed, are inserted into the log entries, and user-specific data fields, such as the IP address and cookie identifications, are deleted from the log entries. In addition or alternatively, prior to anonymization of the log entries, session identifications are assigned to identified groups of log entries. The groups are identified based on factors such as the user's identification, the IP address, the time of search, and differences between the search terms used in the search queries.
    • 为会话标识分配日志条目和生成匿名日志条目。 为了平衡用户的隐私问题,需要分析日志条目以提供高质量的搜索结果,非用户特定的数据字段(例如用户的位置(例如城市,州和纬度/经度))和 连接速度被插入到日志条目中,并且从日志条目中删除用户特定的数据字段,例如IP地址和cookie标识。 另外或替代地,在匿名日志条目之前,将会话标识分配给所识别的日志条目组。 基于用户的识别,IP地址,搜索时间以及搜索查询中使用的搜索词之间的差异来确定组。