Ranking search results by web quality dimensions
Joshua C. C. Pun, Frederick H. Lochovsky · 2004
Currently, search engines rank search results using mainly linkbased metrics. While usually most of the search results are relevant to a user's query, 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 one facet of web data quality. In this paper, one of the newly identified quality dimensions, appropriateness, which is based on the linguistic complexity of a web page, is studied. Experimental results show that it helps a search engine rank web pages according to whether they are (linguistically) appropriate for a user. 1.