(EN)
Information retrieval systems such as web search systems locate documents amongst millions and even billions of possible documents on the basis of query terms. In order to achieve this document indexes are created. We propose creating new fields in the documents to store feedback information. This information comprises query terms used in a particular search as well as information about whether a particular document retrieved is given positive or negative feedback for example. Indexes are created on the basis of this feedback information in addition to other available information. As a result relevance of search results is improved. Multiple fields of information are available for given documents (such as abstract fields, title fields, anchor text fields as well as our feedback fields). Any search algorithm which deals with multiple fields as well as multiple query terms and which provides for differential weighting of document fields is used.
(ZH)
诸如web搜索系统等信息检索系统在查询项的基础上在数百万甚至数十亿可能的文档中定位文档。为实现这点，创建了文档索引。建议在文档中创建新的字段以存储反馈信息。该信息包括在特定搜索中所使用的查询项以及关于是否对所检索到的特定文档给予例如肯定反馈或否定反馈的信息。在该反馈信息加上其它可用信息的基础上创建索引。结果，改进了搜索结果的相关性。对给定文档有多个信息字段(如摘要字段、标题字段、锚文本字段以及此处的反馈字段可用。使用了处理多个字段以及多个查询项并提供对文档字段的差异加权的任何搜索算法。
