Merging retrieval results in hierarchical peer-to-peer networks

Proceedings of Sheffield SIGIR - Twenty-Seventh Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

Volumn , Issue , 2004, Pages 472-473

  Lu, Jie ^a   Callan, Jamie ^a  

^a Carnegie Mellon University ^*  (United States)

Author keywords

Hierarchical; Peer to peer; Result merging; Retrieval

Indexed keywords

DATABASE SYSTEMS; FUNCTIONS; HIERARCHICAL SYSTEMS; NETWORK PROTOCOLS; QUERY LANGUAGES; SAMPLING;

PEER-TO-PEER; QUERY ROUTING; RESULT MERGING; RETRIEVAL;

DIGITAL LIBRARIES;

EID: 8644219910     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1008992.1009076     Document Type: Conference Paper

References (4)

1. S. T. Kirsch. Document retrieval over networks wherein ranking and relevance scores are computed at the client for multiple database documents. U.S. Patent 5,659,732.
2. nd International Conference on Information Knowledge Management, 2003.
3. th Text Retrieval Conference, 2001.
4. L. Si and J. Callan. A semi-supervised learning approach to merging search engine results. ACM Transactions on Information Systems. To appear.