Subwebs for specialized search Raman Chandrasekar, Harry Chen, Simon Corston-Oliver, and Eric Brill   View Paper (PDF)   Return to Posters Abstract We describe a method to define and use subwebs, user-defined neighborhoods of the Internet. Subwebs help improve search performance by inducing a topic-specific page relevance bias over a collection of documents. Subwebs may be automatically identified using a simple algorithm we describe, and used to provide highly-relevant topic-specific information retrieval. Using subwebs in a Help and Support topic, we see marked improvements in precision compared to generic search engine results. BIBTEX @inproceedings{1009080,   author = {Raman Chandrasekar and Harr Chen and Simon Corston-Oliver and Eric Brill},   title = {Subwebs for specialized search},   booktitle = {SIGIR '04: Proceedings of the 27th annual international conference on Research and development in information retrieval},   year = {2004},   isbn = {1-58113-881-4},   pages = {480--481},   location = {Sheffield, United Kingdom},   doi = {http://doi.acm.org/10.1145/1008992.1009080},   publisher = {ACM Press},    } ©2005 Association for Computing Machinery