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    • 8. 发明授权
    • Query routing based on feature learning of data sources
    • 基于数据源特征学习的查询路由
    • US06886009B2
    • 2005-04-26
    • US10209112
    • 2002-07-31
    • Jun-Jang JengYoussef DrissiMoon Ju KimLev KozakovJuan Leon-Rodriquez
    • Jun-Jang JengYoussef DrissiMoon Ju KimLev KozakovJuan Leon-Rodriquez
    • G06F17/30
    • G06F17/30864Y10S707/99933
    • Query routing is based on identifying the preeminent search systems and data sources for each of a number of information domains. This involves assigning a weight to each search system or data source for each of the information domains. The greater the weight, the more preeminent a search system or data source is in a particular information domain. These weights Wi{1=0, 1,2, . . . N] are computed through a recursive learning process employing meta processing. The meta learning process involves simultaneous interrogation of multiple search systems to take advantage of the cross correlation between the search systems and data sources. In this way, assigning a weight to a search system takes into consideration results obtained about other search systems so that the assigned weights reflect the relative strengths of each of the systems or sources in a particular information domain. In the present process, a domain dataset used as an input to query generator. The query generator extracts keywords randomly from the domain dataset. Sets of the extracted keywords constitute a domain specific search query. The query is submitted to the multiple search systems or sources to be evaluated. Initially, a random average weight is assigned to each search system or source. Then, the meta learning process recursively evaluates the search results and feeds back a weight correction dWi to be applied to each system or source server by using weight difference calculator. After a certain number of iterations, the weights Wi reach stable values. These stable values are the values assigned to the search system under evaluation. When searches are performed, the weights are used to determine search systems or sources that are interrogated.
    • 查询路由是基于为多个信息域中的每一个标识优秀的搜索系统和数据源。 这涉及为每个信息域的每个搜索系统或数据源分配权重。 权重越大,搜索系统或数据源在特定信息域中越是优秀。 这些权重Wi {1 = 0,1,2,... 。 。 N]通过使用元处理的递归学习过程来计算。 元学习过程包括同时询问多个搜索系统,以利用搜索系统和数据源之间的互相关。 以这种方式,向搜索系统分配权重考虑了关于其他搜索系统获得的结果,使得分配的权重反映了特定信息域中的每个系统或源的相对强度。 在本过程中,用作查询生成器的输入的域数据集。 查询生成器从域数据集中随机提取关键字。 所提取的关键字的集合构成域特定的搜索查询。 该查询被提交给要评估的多个搜索系统或源。 最初,随机平均权重被分配给每个搜索系统或源。 然后,元学习处理递归地评估搜索结果,并且通过使用权重差计算器反馈要应用于每个系统或源服务器的权重校正dWi。 经过一定次数的迭代,重量Wi达到稳定值。 这些稳定值是分配给正在评估的搜索系统的值。 当执行搜索时,权重用于确定被询问的搜索系统或源。
    • 9. 发明授权
    • Promoting strategic documents by bias ranking of search results on a web browser
    • 通过网页浏览器的搜索结果偏好排序来提升战略文件
    • US08117072B2
    • 2012-02-14
    • US10120071
    • 2002-04-10
    • Moon Ju KimJuan-Leon RodriguezYurdaer Nezihi DoganataYoussef DrissiLev Kozakov
    • Moon Ju KimJuan-Leon RodriguezYurdaer Nezihi DoganataYoussef DrissiLev Kozakov
    • G06Q30/00
    • G06Q30/02G06Q30/0241G06Q30/0601G06Q30/0633
    • 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.
    • 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。