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    • 5. 发明公开
    • System and method for manipulating content in a hierarchical data-driven search and navigation system
    • 系统和方法,用于在一个分层的,数据驱动的搜索和导航系统的处理内容
    • EP2302533A1
    • 2011-03-30
    • EP10185551.8
    • 2003-10-07
    • Endeca Technologies, Inc.
    • Ferrari, Adam JGourley, David JJohnson, Keith A
    • G06F17/30
    • G06F17/30873G06F17/30864Y10S707/99932
    • A data-driven, hierarchical information search and navigation system and method enable search and navigation of sets of materials by certain common attributes that characterize the materials. A rules engine provides for manipulation of the content displayed to the user based on the query entered by the user. The rules engine includes one or more rules with a trigger and an action. The action of a rule is performed only if the trigger is satisfied. A trigger may be specified in terms of expressions of attribute-value pairs and is evaluated against a given query or navigation state. The actions can include various techniques for content manipulation, such as supplementing content, rendering content in a particular way, and sorting content in a particular way. An action may be specified in terms of navigation states. The rules engine may include a script for processing the rules.
    • 数据驱动,分层信息的搜索和导航系统和方法能够搜索并通过某些共同属性套料导航做表征材料。 规则引擎提供用于显示基于用户输入查询的用户内容的操作。 规则引擎包括一个触发和行动中的一个或多个规则。 规则的执行动作只有在触发器是满意的。 触发器可以在属性值对的表达式来指定和被评估针对给定查询或导航状态。 这些动作可以包括内容操纵,颜色不同的技术:如补充的内容,以一种特殊的方式呈现内容和排序在一个特定的方式来发布内容。 一个动作可以在导航状态来规定。 规则引擎可以包括用于处理规则的脚本。
    • 8. 发明授权
    • METHOD AND SYSTEM FOR SIMILARITY SEARCH AND CLUSTERING
    • 方法和装置并行搜索和教育集团
    • EP1459206B1
    • 2007-07-11
    • EP02773177.7
    • 2002-08-09
    • Endeca Technologies, Inc.
    • TUNKELANG, Daniel
    • G06F17/30
    • G06F17/3071G06F17/30477
    • Provided is a similarity search method that makes use of a localized distance metric. The data includes a collection of items, wherein each item is associated with a set of properties. The distance between two items is defined in terms of the number of items in the collection that are associated with the set of properties common to the two items. A query is generally composed of a set of properties. The distance between a query and an item is defined in terms of the number of items in the collection that are associated with the set of properties common to the query and the item. The properties can be of various types, such as binary, partially ordered, or numeric. The distance metric may be applied explicitly or implicitly for similarity search. One embodiment of this invention uses random walks such that the similarity search can be performed exactly or approximately, trading-off between accuracy and performance. The distance metric of the present invention can also be the basis for matching and clustering applications. In these contexts, the distance metric of the present invention may be used to build a graph, to which matching or clustering algorithms can be applied.