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Rank by Readability: Document Weighting for Information Retrieval

机译:可读性排名:信息检索的文档加权

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In this paper, we present a new approach to ranking that considers the reading ability (and motivation) of the user. Web pages can be, increasingly, badly written with unfamiliar words, poor use of syntax, ambiguous phrases and so on. Readability research suggests that experts and motivated readers may overcome confusingly written text, but nevertheless find it an irritation. We investigate using readability to re-rank web pages. We take an extended view of readability that considers the reading level of retrieved web pages using techniques that consider both textual and cognitive factors. Readability of a selection of query results is examined, and a re-ranking on readability is compared to the original ranking. Results to date suggest that considering a view of readability for each reader may increase the probability of relevance to a particular user.
机译:在本文中,我们提出了一种新的排名方法,该方法考虑了用户的阅读能力(和动机)。网页可能越来越难用不熟悉的单词,语法使用不当,模棱两可的短语等来糟糕地书写。可读性研究表明,专家和积极进取的读者可能会克服令人困惑的书面文本,但仍然会感到烦恼。我们研究使用可读性对网页进行重新排名。我们对可读性进行了扩展,使用考虑了文本和认知因素的技术来考虑检索到的网页的阅读水平。检查查询结果选择的可读性,并将可读性的重新排名与原始排名进行比较。迄今为止的结果表明,考虑每个读者的可读性可能会增加与特定用户相关的可能性。

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