A technique for measuring the relative size and overlap of public Web search engines
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Measuring index quality using random walks on the Web
WWW '99 Proceedings of the eighth international conference on World Wide Web
Accessibility of information on the Web
intelligence
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
Keeping Up with the Changing Web
Computer
The Evolution of the Web and Implications for an Incremental Crawler
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Approximating Aggregate Queries about Web Pages via Random Walks
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Estimating frequency of change
ACM Transactions on Internet Technology (TOIT)
A large-scale study of the evolution of web pages
Software—Practice & Experience - Special issue: Web technologies
Estimation of internet file-access/modification rates from indirect data
ACM Transactions on Modeling and Computer Simulation (TOMACS)
The freshness of web search engine databases
Journal of Information Science
Web search solved?: all result rankings the same?
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
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Web monitoring systems and meta-search engines were designed to provide time and coverage critical services, where time critical means that new information should be provided as soon as it is publicized on the web and coverage critical means that any information should not be missed by the systems. We have analyzed coverage and timeliness of three commercial search engines with the web page monitoring results to investigate how rapidly and how efficiently web monitoring system and meta-search engines collect and provide newly published web information. We have also assessed how the meta-search engines might improve coverage and timeliness by providing collective services. Our experiment results show that commercial search engines still cover 65% ∼ 75% of newly published information, taking from five to 13 days to retrieve the information. Theoretically, meta-search engines discover up to 86% of all published data and shorten delay time up to 8 days.