Improved algorithms for topic distillation in a hyperlinked environment
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Automatic resource compilation by analyzing hyperlink structure and associated text
WWW7 Proceedings of the seventh international conference on World Wide Web 7
The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Authoritative sources in a hyperlinked environment
Proceedings of the ninth annual ACM-SIAM symposium on Discrete algorithms
An efficient algorithm to rank Web resources
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
What is this page known for? Computing Web page reputations
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
Finding authorities and hubs from link structures on the World Wide Web
Proceedings of the 10th international conference on World Wide Web
When experts agree: using non-affiliated experts to rank popular topics
Proceedings of the 10th international conference on World Wide Web
The structure of broad topics on the web
Proceedings of the 11th international conference on World Wide Web
Web page scoring systems for horizontal and vertical search
Proceedings of the 11th international conference on World Wide Web
Proceedings of the 11th international conference on World Wide Web
Learning to Probabilistically Identify Authoritative Documents
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Topic-Sensitive PageRank: A Context-Sensitive Ranking Algorithm for Web Search
IEEE Transactions on Knowledge and Data Engineering
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In little over the last decade the World Wide Web has established itself as a medium of interaction, communication, content delivery, and collaboration, opening doors of opportunity never before available to humanity, and on a scale unprecedented in human history. At the same time, information overload, due to democratization of content creation and delivery, remains a major problem. In this paper, we postulate that the problems of democracy are solved by democracy itself: harnessing the people power of the world wide web through collaborative filtering of content is the natural solution to the information overload problem; and we present approaches to promote such collaboration. We show that the standard PageRank Algorithm, inspired by the effectiveness of citation-structure analysis (“all links are good, and the more the better”) to estimate the relative importance of articles in scientific literature, is becoming less effective in this increasingly democratized world of online content. As long as uniformly edited content produced by media companies and other corporate entities dominated online content, the topological similarity of the web to the world of scientific literature was maintained sufficiently well. The explosion of unedited blogs, discussion fora, and wikis, with their “messier” hyperlink structure, is rapidly reducing this similarity, and also the effectiveness of standard PageRank-based filtering methods. We assume a slightly modified Web infrastructure in which links have positive and negative weights, and show that this enables radically different and more effective approaches to page ranking and collaborative content filtering, leading to a vastly improved environment to incentivize content creation and co-operation on the World Wide Web, helping realize, in essence, a vastly more efficient information economy in today’s online global village.