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
Does “authority” mean quality? predicting expert quality ratings of Web documents
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
The stochastic approach for link-structure analysis (SALSA) and the TKC effect
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
SALSA: the stochastic approach for link-structure analysis
ACM Transactions on Information Systems (TOIS)
Hyperlink Analysis for the Web
IEEE Internet Computing
Learning to Probabilistically Identify Authoritative Documents
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Focused Crawling Using Context Graphs
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
A Unified Probabilistic Framework for Web Page Scoring Systems
IEEE Transactions on Knowledge and Data Engineering
User Centric Walk: An Integrated Approach for Modeling the Browsing Behavior of Users on the Web
ANSS '05 Proceedings of the 38th annual Symposium on Simulation
Dempster-Shafer Theory for a Query-Biased Combination of Evidence on the Web
Information Retrieval
ACM Transactions on Internet Technology (TOIT)
Higher-Order Web Link Analysis Using Multilinear Algebra
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Building implicit links from content for forum search
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Computing customized page ranks
ACM Transactions on Internet Technology (TOIT)
DirichletRank: Solving the zero-one gap problem of PageRank
ACM Transactions on Information Systems (TOIS)
An Architectural Paradigm for Collaborative Semantic Indexing of Multimedia Data Objects
VISUAL '08 Proceedings of the 10th international conference on Visual Information Systems: Web-Based Visual Information Search and Management
Focused Page Rank in Scientific Papers Ranking
ICADL 08 Proceedings of the 11th International Conference on Asian Digital Libraries: Universal and Ubiquitous Access to Information
A learning algorithm for web page scoring systems
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Learning web page scores by error back-propagation
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
The graph neural network model
IEEE Transactions on Neural Networks
TripleRank: Ranking Semantic Web Data by Tensor Decomposition
ISWC '09 Proceedings of the 8th International Semantic Web Conference
Multimedia data mining and searching through dynamic index evolution
VISUAL'07 Proceedings of the 9th international conference on Advances in visual information systems
A neural network approach to web graph processing
APWeb'05 Proceedings of the 7th Asia-Pacific web conference on Web Technologies Research and Development
Effective filtering for collaborative publishing
WINE'05 Proceedings of the First international conference on Internet and Network Economics
Intelligent Social Media Indexing and Sharing Using an Adaptive Indexing Search Engine
ACM Transactions on Intelligent Systems and Technology (TIST)
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Page ranking is a fundamental step towards the construction of effective search engines for both generic (horizontal) and focused (vertical) search. Ranking schemes for horizontal search like the PageRank algorithm used by Google operate on the topology of the graph, regardless of the page content. On the other hand, the recent development of vertical portals (vortals) makes it useful to adopt scoring systems focussed on the topic and taking the page content into account.In this paper, we propose a general framework for Web Page Scoring Systems (WPSS) which incorporates and extends many of the relevant models proposed in the literature. Finally, experimental results are given to assess the features of the proposed scoring systems with special emphasis on vertical search.