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    TECHNIQUES FOR PERSONALIZED AND ADAPTIVE SEARCH SERVICES
    8.
    发明申请
    TECHNIQUES FOR PERSONALIZED AND ADAPTIVE SEARCH SERVICES 有权
    个性化和自适应搜索服务的技术

    公开(公告)号：US20080270393A1

    公开(公告)日：2008-10-30

    申请号：US12169306

    申请日：2008-07-08

    申请人： Yurdaer Nezihi Doganata ,  Youssef Drissi ,  Lev Kozakov

    发明人： Yurdaer Nezihi Doganata ,  Youssef Drissi ,  Lev Kozakov

    IPC分类号： G06F7/10 ,  G06F17/30

    CPC分类号： G06F17/30867

    摘要： Techniques are presented for automatically selecting information sources that are most relevant to user queries. Results of searches returned by information sources for queries are analyzed and the information sources are ranked based on this analysis. The information sources that have high rankings for a query are subsequently used to search for relevant results. This process can be adaptive, as the returned results of old queries can be analyzed at a later date to update the ranking of the information sources, automatic searches can be performed to update the ranking of the information sources, new queries can be used for analysis and stored, new information sources added, and old information sources deleted. A linguistic library is used to store personal categories for one or more users and general categories. Each category is associated with keywords and ranked lists of information sources. The library also contains general categories, taxonomies, and dictionaries.

    摘要翻译： 提供了自动选择与用户查询最相关的信息源的技术。 分析查询信息源返回的搜索结果，并根据此分析对信息源进行排名。 随后使用查询排名较高的信息来搜索相关结果。 该过程可以是自适应的，因为可以在稍后的时间分析旧查询的返回结果来更新信息源的排名，可以执行自动搜索来更新信息源的排名，新的查询可以用于分析 并存储，添加了新的信息源，并删除了旧的信息源。 语言库用于存储一个或多个用户和一般类别的个人类别。 每个类别都与关键词和排名的信息源列表相关联。 图书馆还包含一般类别，分类和字典。

    Method and System for Characterizing Unknown Annotator and its Type System with Respect to Reference Annotation Types and Associated Reference Taxonomy Nodes
    9.
    发明申请
    Method and System for Characterizing Unknown Annotator and its Type System with Respect to Reference Annotation Types and Associated Reference Taxonomy Nodes 失效
    用于表征未知注释及其类型系统的方法和系统，涉及注释类型和相关参考分类法节点

    公开(公告)号：US20080168080A1

    公开(公告)日：2008-07-10

    申请号：US11620189

    申请日：2007-01-05

    申请人： Yurdaer N. Doganata ,  Youssef Drissi ,  David A. Ferrucci ,  Tong-Haing Fin ,  Genady Grabarnik ,  Lev Kozakov

    发明人： Yurdaer N. Doganata ,  Youssef Drissi ,  David A. Ferrucci ,  Tong-Haing Fin ,  Genady Grabarnik ,  Lev Kozakov

    IPC分类号： G06F17/30

    CPC分类号： G06F17/30613 ,  G06Q10/10

    摘要： An unknown annotator and its annotation type system are compared against a reference annotation type system. The comparison is done by providing a plurality of documents, and annotating each document using the reference set of document annotators, producing instances of reference annotation types, to generate a pre-annotated reference document set, and using the subject annotator and its subject annotation type system to generate a pre-annotated evaluation document set. Documents in the pre-annotated evaluation document set are compared to documents in the pre-annotated reference document set, and matches in location, within the compared documents, of instances of the subject annotation types and the reference annotation types are identified. Based on the matching data, reference document annotation types are selected that sufficiently correlate with the subject annotation type system. Based on the type system matching, the subject annotator and its type system are associated with a plurality of reference industrial taxonomy nodes.

    摘要翻译： 未知注释器及其注释类型系统与参考注释类型系统进行比较。 比较是通过提供多个文档，并使用文献注释器的引用集来注释每个文档，产生引用注释类型的实例，以生成预先注释的参考文档集合，并且使用主题注释器及其主题注释类型 系统生成预注释的评估文件集。 将预先注释的评估文档集中的文档与预注释的参考文档集中的文档进行比较，并且在比较的文档中的位置匹配主题注释类型的实例和参考注释类型。 基于匹配数据，选择与对象注释类型系统充分相关的参考文档注释类型。 基于类型系统匹配，主体注释器及其类型系统与多个参考工业分类结点相关联。