The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Hubs, authorities, and communities
ACM Computing Surveys (CSUR)
Website link structure evaluation and improvement based on user visiting patterns
Proceedings of the 12th ACM conference on Hypertext and Hypermedia
Modern Information Retrieval
Refinement of TF-IDF schemes for web pages using their hyperlinked neighboring pages
Proceedings of the fourteenth ACM conference on Hypertext and hypermedia
A study about browsers in the Web and the Desktop
EATIS '07 Proceedings of the 2007 Euro American conference on Telematics and information systems
HPDC '08 Proceedings of the 17th international symposium on High performance distributed computing
Easing the burdens of HPC file management
Proceedings of the sixth workshop on Parallel Data Storage
Digital Investigation: The International Journal of Digital Forensics & Incident Response
Hi-index | 0.00 |
We describe Eureka, a file system search engine that takes into account the inherent relationships among files in order to improve the rankings of search results. The key idea is to automatically infer semantic links within the file system, and use the structure of the links to determine the importance of different files and essentially bias the result rankings. We discuss the inference of semantic links and describe the design of the Eureka search engine.