Document quality models for web ad hoc retrieval
Proceedings of the 14th ACM international conference on Information and knowledge management
Implementation and evaluation of a quality-based search engine
Proceedings of the seventeenth conference on Hypertext and hypermedia
Concept-based document readability in domain specific information retrieval
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Computing semantic relatedness using Wikipedia-based explicit semantic analysis
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Extracting hidden information based on comparing web with UGC
WISS'10 Proceedings of the 2010 international conference on Web information systems engineering
Measuring Comprehensibility of Web Pages Based on Link Analysis
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
An unsupervised ranking method based on a technical difficulty terrain
Proceedings of the 20th ACM international conference on Information and knowledge management
Adaptive ranking of search results by considering user's comprehension
Proceedings of the 4th International Conference on Uniquitous Information Management and Communication
How the web can help Wikipedia: a study on information complementation of Wikipedia by the web
Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication
Estimating content concreteness for finding comprehensible documents
Proceedings of the sixth ACM international conference on Web search and data mining
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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.