@article{pun_ranking_2004-2,
	title = {Ranking {Search} {Results} by {Web} {Quality} {Dimensions}},
	volume = {3},
	issn = {1540-9589},
	url = {http://dl.acm.org/citation.cfm?id=2011149.2011154},
	abstract = {Currently, search engines rank search results using mainly link-based metrics. While usually most of the search results are relevant to a user's query, due to how the results are ranked, users often are still not totally satisfied with them. Using a proposed framework of web data quality, it is found that current search engines usually only consider a very small number of the dimensions of web data quality in their ranking algorithms. In this paper, a newly identified web data-quality dimension, appropriateness, which is based on the linguistic and visual complexity of a web page, is studied. It is computed using new metrics that classify web pages into three main appropriateness genres: scholarly, news/general interest and popular. Experiments have shown the effectiveness of the metrics in ranking web pages by whether they are appropriate to a user's task and information needs.},
	number = {3},
	urldate = {2017-04-28},
	journal = {J. Web Eng.},
	author = {Pun, Joshua C. C. and Lochovsky, Frederick H.},
	year = {2004},
	keywords = {user appropriateness, web data quality, web metrics},
	pages = {216--235}
}

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