Easiest-first search: Towards comprehension-based web search
|Easiest-first search: Towards comprehension-based web search|
|Author(s)||Nakatani M., Jatowt A., Tanaka K.|
|Published in||International Conference on Information and Knowledge Management, Proceedings|
|Keyword(s)||Comprehensibility, Readability, Web search, Wikipedia mining (Extra: Domain knowledge, Expert users, Human knowledge, Information gateways, Re-ranking, Readability, Search queries, Search results, Technical terms, Web page, Web search engines, Web searches, Wikipedia, Information retrieval, Knowledge management, Search engines, World Wide Web)|
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Easiest-first search: Towards comprehension-based web search is a 2009 conference paper written in English by Nakatani M., Jatowt A., Tanaka K. and published in International Conference on Information and Knowledge Management, Proceedings.
Although Web search engines have become information gateways to the Internet, for queries containing technical terms, search results often contain pages that are difficult to be understood by non-expert users. Therefore, re-ranking search results in a descending order of their comprehensibility should be effective for non-expert users. In our approach, the comprehensibility of Web pages is estimated considering both the document readability and the difficulty of technical terms in the domain of search queries. To extract technical terms, we exploit the domain knowledge extracted from Wikipedia. Our proposed method can be applied to general Web search engines as Wikipedia includes nearly every field of human knowledge. We demonstrate the usefulness of our approach by user experiments. Copyright 2009 ACM.
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