Automatic feedback using past queries: social searching?
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Synchronizing a database to improve freshness
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
Web page change and persistence---a four-year longitudinal study
Journal of the American Society for Information Science and Technology
Proceedings of the 11th international conference on World Wide Web
Communications of the ACM
The Evolution of the Web and Implications for an Incremental Crawler
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Personalized Web Search For Improving Retrieval Effectiveness
IEEE Transactions on Knowledge and Data Engineering
A community-aware search engine
Proceedings of the 13th international conference on World Wide Web
Adaptive web search based on user profile constructed without any effort from users
Proceedings of the 13th international conference on World Wide Web
A large-scale study of the evolution of web pages
Software—Practice & Experience - Special issue: Web technologies
Behavior-based web page evaluation
Proceedings of the 15th international conference on World Wide Web
Rate of change and other metrics: a live study of the world wide web
USITS'97 Proceedings of the USENIX Symposium on Internet Technologies and Systems on USENIX Symposium on Internet Technologies and Systems
A three-year study on the freshness of web search engine databases
Journal of Information Science
An empirical study on the change of web pages
APWeb'05 Proceedings of the 7th Asia-Pacific web conference on Web Technologies Research and Development
Platform for extraction, visualization and analysis of search trends
Proceedings of the 8th International Conference on Frontiers of Information Technology
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This work describes a novel sampling standardization for improving precision of third-party results in web meta-search. The standardization uses the capture-recapture methodology which is mainly applied for estimating evolution rates in wildlife biological studies, as well as a mechanism that records the users' browsing behavior during their web search sessions. The paper provides the implementation details and the initial assessment of a third-party results ranking algorithm which employs both mechanisms. It is proved that an important quality factor in providing relevant information is how frequent Internet search services refresh their databases. It is also proved that when users' browsing behavior is jointly examined with the ability of the Internet search services to offer new and fresh results, a more effective meta-search is provided. Experimental results have shown that the precision levels of third-party results were significantly increased in several recall levels, over a six-month period. For acquiring third-party results we used five known web search services namely, AltaVista, Google, Lycos, MSN, and Yahoo!