Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
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
The structure of broad topics on the web
Proceedings of the 11th international conference on World Wide Web
Mining the Web: Discovering Knowledge from HyperText Data
Mining the Web: Discovering Knowledge from HyperText Data
Naive (Bayes) at Forty: The Independence Assumption in Information Retrieval
ECML '98 Proceedings of the 10th European Conference on Machine Learning
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
Extrapolation methods for accelerating PageRank computations
WWW '03 Proceedings of the 12th international conference on World Wide Web
Topic-Sensitive PageRank: A Context-Sensitive Ranking Algorithm for Web Search
IEEE Transactions on Knowledge and Data Engineering
Topic Continuity for Web Document Categorization and Ranking
WI '03 Proceedings of the 2003 IEEE/WIC International Conference on Web Intelligence
A Unified Probabilistic Framework for Web Page Scoring Systems
IEEE Transactions on Knowledge and Data Engineering
Topical link analysis for web search
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Separate and inequal: preserving heterogeneity in topical authority flows
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
From whence does your authority come?: utilizing community relevance in ranking
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Fuzzy web surfer models: theory and experiments
WImBI'06 Proceedings of the 1st WICI international conference on Web intelligence meets brain informatics
| Hi-index | 0.01 |
This paper describes a surfer model which incorporates information about topic continuity derived from the surfer's history. Therefore, unlike earlier models, it captures the interrelationship between categorization (context) and ranking of Web documents simultaneously. The model is mathematically formulated. A scalable and convergent iterative procedure is provided for its implementation. Its different characteristic features, as obtained from the joint probability matrix, and their significance in Web intelligence are mentioned. Experiments performed on Web pages obtained from WebBase confirm the superiority of the model.