Adam Jatowt

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Adam Jatowt is an author.

Publications

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Title Keyword(s) Published in Language DateThis property is a special property in this wiki. Abstract R C
Is Wikipedia too difficult? Comparative analysis of readability of Wikipedia, simple Wikipedia and Britannica Readability
Web content analysis
Web search
ACM International Conference Proceeding Series English 2012 Readability is one of key factors determining document quality and reader's satisfaction. In this paper we analyze readability of Wikipedia, which is a popular source of information for searchers about unknown topics. Although Wikipedia articles are frequently listed by search engines on top ranks, they are often too difficult for average readers searching information about difficult queries. We examine the average readability of content in Wikipedia and compare it to the one in Simple Wikipedia and Britannica. Next, we investigate readability of selected categories in Wikipedia. Apart from standard readability measures we use some new metrics based on words' popularity and their distributions across different document genres and topics. 0 0
Adaptive ranking of search results by considering user's comprehension Adaptive ranking
Comprehensibility
User interaction
Web search
Data mining
Proceedings of the 4th International Conference on Ubiquitous Information Management and Communication ICUIMC 10 English 2010 Given a search query, conventional Web search engines provide users with the same ranking although users' comprehension levels can be different. It is often difficult especially for non-expert users to find comprehensible Web pages from the list of search results. In this paper, we propose the method of adaptively ranking search results by considering user's comprehension level. The main issues are (a) estimating the comprehensibility of Web pages and (b) estimating the user's comprehension level. In our method, the com-prehensibility of each search result is computed by using the readability index and technical terms extracted from Wikipedia. User's comprehension level is estimated by the users' feedback about the difficulty of search results that they have viewed. We implement a prototype system and evaluate the usefulness of our approach by user experiments. 0 0
Easiest-first search: Towards comprehension-based web search Comprehensibility
Readability
Web search
Data mining
International Conference on Information and Knowledge Management, Proceedings English 2009 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. 0 0
Quality Evaluation of Search Results by Typicality and Speciality of Terms Extracted from Wikipedia Search results quality
Term extraction
Term speciality
Term typicality
Data mining
DASFAA English 2009 0 0