Document quality models for web ad hoc retrieval

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2005, Pages 331-332

  Zhou, Yun ^a   Croft, W Bruce ^a  

^a University of Massachusetts Amherst   (United States)

Author keywords

Collection document distance; Document quality; Prior probabilities; Web retrieval

Indexed keywords

COLLECTION-DOCUMENT DISTANCE; DOCUMENT QUALITY; PRIOR PROBABILITIES; WEB RETRIEVAL;

MATHEMATICAL MODELS; NUMERICAL METHODS; ONLINE SEARCHING; PROBABILISTIC LOGICS; SYSTEM PROGRAM DOCUMENTATION; WORLD WIDE WEB;

INFORMATION RETRIEVAL;

EID: 33745785269     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1099554.1099652     Document Type: Conference Paper

References (5)

1. X. Zhu and S. Gauch, Incorporating quality metrics in centralized/distributed information retrieval on the World Wide Web. In Proceedings of SIGIR 2000, 288-295, 2000.
2. F. Song and W.B. Croft. A general language model for information retrieval. In Proceedings of SIGIR 1999, 279-280, 1999
3. Y. Zhou and W.B. Croft Document quality models for web adhoc retrieval Technical report IR-432, Center for Intelligent Information Retrieval, University of Massachusetts, 2004
4. W. Kraaij and T. Westerveld and D. Hiemstra, The importance of prior probabilities for entry page search, Proceedings of SIGIR 2002, 27-34, 2002.
5. T. Hastie, R. Tibshirani, J. H. Friedman. The Elements of Statistical Learning, Section 6, Kernel Method. Springer press, 2001