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The shark-search algorithm. An application: tailored Web site mapping
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Focused crawling: a new approach to topic-specific Web resource discovery
WWW '99 Proceedings of the eighth international conference on World Wide Web
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
Organizing topic-specific web information
HYPERTEXT '00 Proceedings of the eleventh ACM on Hypertext and hypermedia
Text Classification from Labeled and Unlabeled Documents using EM
Machine Learning - Special issue on information retrieval
Adaptive Retrieval Agents: Internalizing Local Contextand Scaling up to the Web
Machine Learning - Special issue on information retrieval
Intelligent crawling on the World Wide Web with arbitrary predicates
Proceedings of the 10th international conference on World Wide Web
Accelerated focused crawling through online relevance feedback
Proceedings of the 11th international conference on World Wide Web
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Modern Information Retrieval
Using Reinforcement Learning to Spider the Web Efficiently
ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
Focused Crawling Using Context Graphs
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
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ACM Transactions on Internet Technology (TOIT)
Learnable topic-specific web crawler
Journal of Network and Computer Applications - Special issue on computational intelligence on the internet
A General Evaluation Framework for Topical Crawlers
Information Retrieval
AuToCrawler: An Integrated System for Automatic Topical Crawler
Proceedings of the Fourth Annual ACIS International Conference on Computer and Information Science
Learning to crawl: Comparing classification schemes
ACM Transactions on Information Systems (TOIS)
Link Contexts in Classifier-Guided Topical Crawlers
IEEE Transactions on Knowledge and Data Engineering
Using HMM to learn user browsing patterns for focused web crawling
Data & Knowledge Engineering - Special issue: WIDM 2004
A new method for focused crawler cross tunnel
RSKT'06 Proceedings of the First international conference on Rough Sets and Knowledge Technology
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AAIM'05 Proceedings of the First international conference on Algorithmic Applications in Management
Editorial: A topic-specific crawling strategy based on semantics similarity
Data & Knowledge Engineering
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Focused web crawlers collect topic-related web pages from the Internet. Using Q learning and semi-supervised learning theories, this study proposes an online semi-supervised clustering approach for topical web crawlers (SCTWC) to select the most topic-related URL to crawl based on the scores of the URLs in the unvisited list. The scores are calculated based on the fuzzy class memberships and the Q values of the unlabelled URLs. Experimental results show that SCTWC increases the crawling performance.