The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Information retrieval on the web
ACM Computing Surveys (CSUR)
Cumulated gain-based evaluation of IR techniques
ACM Transactions on Information Systems (TOIS)
Experiments in social data mining: The TopicShop system
ACM Transactions on Computer-Human Interaction (TOCHI)
Toward a Qualitative Search Engine
IEEE Internet Computing
Re-ranking search results using network analysis a case study with google: a case study with Google
CASCON '02 Proceedings of the 2002 conference of the Centre for Advanced Studies on Collaborative research
Journal of the American Society for Information Science and Technology - Special issue: Webometrics
Implementation and evaluation of a quality-based search engine
Proceedings of the seventeenth conference on Hypertext and hypermedia
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Internet is the era connecting millions of people online. Such web makes a person even to think beyond his imagination. Due to such phenomenal changes in life style especially after 1990's, research on web has got some importance. Web mining poses a number of challenges involving different approaches like text mining, link mining, content mining or context mining. It also makes us to think of multi lingual mining, which leaves a bi challenge for research community. This paper focuses in depth on automated evaluation procedure of the mined web contents. We have made some effort to optimize the results given by a search engine through link mining and content mining. Having obtained such mined and optimized data, we propose an automated evaluation metric to measure the quality of the retrieved content. The results seem to be promising which leads to ideas that can be enhanced through some automated agents.