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INDEXING DOCUMENTS FOR INFORMATION RETRIEVAL

机译:用于检索信息的索引文件

摘要

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.
机译:诸如Web搜索系统之类的信息检索系统会根据查询词在数百万甚至数十亿个可能的文档中定位文档。为了实现该文档,创建了索引。我们建议在文档中创建新字段以存储反馈信息。该信息包括在特定搜索中使用的查询词,以及有关例如对所检索的特定文档给出正反馈还是负反馈的信息。除了其他可用信息之外,索引还基于此反馈信息创建。结果,提高了搜索结果的相关性。给定文档有多个信息字段(例如抽象字段,标题字段,锚文本字段以及我们的反馈字段)。使用处理多个字段以及多个查询词并提供文档字段的差分加权的任何搜索算法。

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