Bilingual web page and site readability assessment
Proceedings of the 15th international conference on World Wide Web
Combating web spam with trustrank
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Easiest-first search: towards comprehension-based web search
Proceedings of the 18th ACM conference on Information and knowledge management
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
Personalizing web search results by reading level
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
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Although Web search engines have become information gateways to the Internet, search results often contain pages that are difficult to understand for non-expert users, especially when queries contain technical or rare terms. Readability indexes are well-known measures for estimating text comprehensibility. However, readability indexes are not sufficient for evaluating the comprehensibility of Web pages, as they are designed for general purpose texts. In this research, we investigate the relationship between links and readability of text extracted from Web pages for two datasets, namely English and Japanese pages. We then describe a link analysis algorithm for measuring comprehensibility of Web pages based on the TrustRank algorithm originally used for combating Web spam. Lastly, we report results of preliminary studies to measure the correlation between search rank and readability of Web search results.