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    • 3. 发明申请
    • ANSWERING WEB QUERIES USING STRUCTURED DATA SOURCES
    • 使用结构化数据源解答网络问题
    • US20110047171A1
    • 2011-02-24
    • US12545872
    • 2009-08-24
    • Stelios PaparizosAlexandros NtoulasJohn C. Shafer
    • Stelios PaparizosAlexandros NtoulasJohn C. Shafer
    • G06F17/30
    • G06F17/3056G06F17/30427
    • Described is answering online web queries from a structured data store, such as a products database. An online web search query is modified into an evaluation expression for accessing a structured data store (e.g., a database, XML file, a flat table) to find search results. A query is matched to a pattern, which is used to generate the expression, as well as determine to which structured data store the query is routed. Tokens (e.g., words) in the query are processed against a dictionary of token classes (sets of tokens) and patterns (sets of token classes) to annotate the query to map the query to the matching pattern. A translation process generates the expression based on translation hints that correspond to the matching pattern. Also described is offline mining of query logs to generate the dictionaries.
    • 描述的是回答来自结构化数据存储(如产品数据库)的在线Web查询。 在线网络搜索查询被修改为用于访问结构化数据存储(例如,数据库,XML文件,平面表)以查找搜索结果的评估表达式。 查询与一个模式相匹配,该模式用于生成表达式,以及确定查询路由到哪个结构化数据存储。 根据令牌类(令牌集)和模式(令牌类集合)的字典处理查询中的令牌(例如单词),以注释查询以将查询映射到匹配模式。 翻译过程基于与匹配模式对应的翻译提示生成表达式。 还描述了查询日志的离线挖掘以生成字典。
    • 5. 发明授权
    • Answering web queries using structured data sources
    • 使用结构化数据源回答Web查询
    • US08832133B2
    • 2014-09-09
    • US12545872
    • 2009-08-24
    • Stelios PaparizosAlexandros NtoulasJohn C. Shafer
    • Stelios PaparizosAlexandros NtoulasJohn C. Shafer
    • G06F17/30
    • G06F17/3056G06F17/30427
    • Described is answering online web queries from a structured data store, such as a products database. An online web search query is modified into an evaluation expression for accessing a structured data store (e.g., a database, XML file, a flat table) to find search results. A query is matched to a pattern, which is used to generate the expression, as well as determine to which structured data store the query is routed. Tokens (e.g., words) in the query are processed against a dictionary of token classes (sets of tokens) and patterns (sets of token classes) to annotate the query to map the query to the matching pattern. A translation process generates the expression based on translation hints that correspond to the matching pattern. Also described is offline mining of query logs to generate the dictionaries.
    • 描述的是回答来自结构化数据存储(如产品数据库)的在线Web查询。 在线网络搜索查询被修改为用于访问结构化数据存储(例如,数据库,XML文件,平面表)以查找搜索结果的评估表达式。 查询与一个模式相匹配,该模式用于生成表达式,以及确定查询路由到哪个结构化数据存储。 根据令牌类(令牌集)和模式(令牌类集合)的字典处理查询中的令牌(例如,单词),以注释查询以将查询映射到匹配模式。 翻译过程基于与匹配模式对应的翻译提示生成表达式。 还描述了查询日志的离线挖掘以生成字典。
    • 8. 发明申请
    • Context-Aware Query Recommendations
    • 上下文感知查询建议
    • US20100241647A1
    • 2010-09-23
    • US12408726
    • 2009-03-23
    • Alexandros NtoulasHeasoo HwangLise C. GetoorStelios PaparizosHady Wirawan Lauw
    • Alexandros NtoulasHeasoo HwangLise C. GetoorStelios PaparizosHady Wirawan Lauw
    • G06F17/30
    • G06F16/24575
    • 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.
    • 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。