Method and apparatus for search optimization based on generation of context focused queries
    2.
    发明授权
    Method and apparatus for search optimization based on generation of context focused queries 有权
    基于上下文关联查询的生成的搜索优化的方法和装置

    公开(公告)号:US07676452B2

    公开(公告)日:2010-03-09

    申请号:US10202564

    申请日:2002-07-23

    IPC分类号: G06F17/30

    摘要: Disclosed is a method and apparatus for operating a search system for searching a search space containing domains each representing a collection of related documents. The method includes establishing a domain characterization model (DCM) that includes a DCM index containing keywords and, for each keyword, an identification of a domain where the keyword is found. In response to an original search query, the method forms one or a plurality of enhanced search queries in accordance with the DCM for searching a plurality of domains. Each enhanced search query is formed for searching a particular targeted domain and contains the original search query and at least one keyword associated with the particular domain. The search results are clustered and are displayed so as to be organized by the domains that were searched. The top search results returned in response to each enhanced search query belong to one of the targeted domains.

    摘要翻译: 公开了一种用于操作搜索系统的方法和装置,用于搜索包含各自表示相关文档的集合的域的搜索空间。 该方法包括建立域表征模型(DCM),其包括包含关键字的DCM索引,并且针对每个关键字,找到关键字被找到的域的标识。 响应于原始搜索查询,该方法根据用于搜索多个域的DCM形成一个或多个增强搜索查询。 形成每个增强搜索查询用于搜索特定目标域并且包含原始搜索查询和至少一个与该特定域相关联的关键字。 搜索结果被聚集并显示,以便被搜索的域组织。 针对每个增强型搜索查询返回的顶部搜索结果属于其中一个目标域。

    Promoting strategic documents by bias ranking of search results on a web browser
    3.
    发明授权
    Promoting strategic documents by bias ranking of search results on a web browser 有权
    通过网页浏览器的搜索结果偏好排序来提升战略文件

    公开(公告)号:US08117072B2

    公开(公告)日:2012-02-14

    申请号:US10120071

    申请日:2002-04-10

    IPC分类号: G06Q30/00

    摘要: A method, software and apparatus are provided which enable a user to obtain products and services in a manner which counteracts conflicting actions modifying raw ranking data based on merchants interests. For this purpose, an information a user's web browser is provided with modules that modify search results obtained from one or more sources including directly from merchants. When the user enters a set of key words in an entry field in an on-screen form for a web server to obtain a list of items (products and/or services) of interest to the user, the search terms are modified in the users or his agents browser to reflect the interest of the user, his management or his parents. The user or his agent receives ranking information taking the highest ranked products and obtains the product information for the most highly ranked products. The browser then reranks the products using a ranking algorithm preferred by the user that offsets information sources biases in the ranking of the product information. The algorithm adds weighting factors reflecting the modified search terms. The weighting factors are combined with the mentioned ranking mechanisms to the documents to increase the probability that certain items come to the top when the search results are presented to the shopper.

    摘要翻译: 提供了一种方法,软件和装置,其使得用户能够以抵消基于商家兴趣修改原始排名数据的冲突动作的方式获得产品和服务。 为此,用户的Web浏览器的信息被提供有模块,其修改从直接来自商家的一个或多个来源获得的搜索结果。 当用户在用于web服务器的屏幕上的输入字段中输入一组关键词以获得用户感兴趣的项目(产品和/或服务)的列表时,在用户中修改搜索项 或他的代理浏览器来反映用户,他的管理层或他的父母的兴趣。 用户或其代理人收到排名最高的产品的排名信息,并获得最高排名的产品的产品信息。 然后,浏览器使用用户偏好的排序算法来重新排列产品,以抵消信息源在产品信息的排名中的偏差。 该算法添加了反映修改的搜索项的加权因子。 加权因子与提到的文件排序机制结合起来,以便在将搜索结果呈现给购物者时增加某些项目到达顶部的可能性。

    Method, system and program product for detecting deviation from software development best practice resource in a code sharing system
    8.
    发明授权
    Method, system and program product for detecting deviation from software development best practice resource in a code sharing system 失效
    用于在代码共享系统中检测与软件开发最佳实践资源的偏差的方法,系统和程序产品

    公开(公告)号:US07647579B2

    公开(公告)日:2010-01-12

    申请号:US10814925

    申请日:2004-03-31

    IPC分类号: G06F9/44

    CPC分类号: G06F8/36

    摘要: Under the present invention, a best practice violation (BPV) engine resource is first built. This typically occurs by: receiving sets of source code from a plurality of sources; detecting a programming language of each of the sets of source code; extracting code patterns from the sets of source code; defining meta data for each code pattern that indicates a quality; classifying each code pattern; and assigning a rank to each of the code pattern based on its corresponding meta data as well as a skill level and an experience level of the developer. Once the BPV engine resource is built, it will be used to detect best practice violations in other sets of source code.

    摘要翻译: 根据本发明,首先构建最佳实践违规(BPV)引擎资源。 这通常发生在:从多个源接收源代码集合; 检测每个源代码集的编程语言; 从源代码集中提取代码模式; 为指示质量的每个代码模式定义元数据; 对每个代码模式进行分类; 并且基于其对应的元数据以及开发者的技能水平和经验水平为每个代码模式分配等级。 一旦构建了BPV引擎资源,它将被用于检测其他源代码集中的最佳实践违规。