|
ABSTRACT
In some recent experimental document retrieval systems, emphasis has been placed on the acquisition of a detailed model of the information need through interaction with the user. It has been argued that these “enhanced” queries, in combination with relevance feedback, will improve retrieval performance. In this paper, we describe a study with the aim of evaluating how easily enhanced queries can be acquired from users and how effectively this additional knowledge can be used in retrieval. The results indicate that significant effectiveness benefits can be obtained through the acquisition of domain concepts related to query concepts, together with their level of importance to the information need.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
| |
1
|
|
| |
2
|
|
| |
3
|
Croft, W. B. "Document Representation in Probabilistic Models of I_nformation Retrieval". Journal of the American Society of Infov'mation Science, 32: 451-457; 1981.
|
| |
4
|
Croft, V#r. B. "Boolean Queries and Term Dependencies in Probabilistic Retrieval Models". Journal of the American Society for Information Science, 37: 71-77; 1986.
|
| |
5
|
Croft, W.B.; Harper, D.J. *'Using probabilistic models of document retrieval without relevaz#ce in.formation", Journal of Documentation, 35, 285-295, 1979.
|
| |
6
|
|
| |
7
|
|
| |
8
|
FagaxL# J. Ezperiments in Automatic Phrase Indezing for Document Reirieval: A Comparison of Syntactic and Non-Syntactic Methods. Ph.D. Thesis, TR 87-868, Cornell University, Computer Science Department, 1987.
|
| |
9
|
|
 |
10
|
|
| |
11
|
Harper, D.J. Relevance Feedback in Documer, t Retrieval Systems: An Evaluation of Probabilistic Strategies. Ph.D. Thesis, Computer Laboratory, University of Cambridge, 1980.
|
| |
12
|
|
| |
13
|
Van l#ijsbergen, C.J. "A Non-Classical Logic for Lrfformation RetrievM". Computer Journal, 29" 481-485; 1986.
|
| |
14
|
l#obertson, S.E. "The methodology of information retrieval experiment". In" Spa#ck Jones, editor, Information Retrieval Ezperzment. London" Butterworths, 9-31, 1981.
|
| |
15
|
|
| |
16
|
|
| |
17
|
|
| |
18
|
Salton, G; V#raldstein, R.G. "Term Relevance Weights in On-Line information Retrieval", Information Processing and Management, 14, 29-35, 1978.
|
 |
19
|
|
| |
20
|
Siegel, S. Nonparametric Statistics, McGraw-Hill, 1956.
|
 |
21
|
|
| |
22
|
Spaxck 3ones, K. Automatic Keyword Classification for Information Retrieval. Butterworths, London, 1971.
|
| |
23
|
Sparck :}ones, K.; Bates, K.G. Report on a design }or the 'ideal' test collection. British Library R.eport 5428, Computer Laboratory, University of Cambridge, 1977.
|
| |
24
|
Spaxck Jones, K.; Webster, C. Research on Relevance 14"eighting. British Libraxy Report 5553, Computer Laboratory, University of Caxnbridge, 1980.
|
| |
25
|
Tou, F.M. et al. "RABBIT: An intelligent database assistax#t". Proceedings AAAI-82, 314- 318, 1982.
|
| |
26
|
Yu, C.T.; Buckley# D.; Lain, K; Salton, G. "A genera}iT#ed term dependence model in information retrievM". Inforrna$ion Technology: Research and Development, 4, 129-154, 1983.
|
CITED BY 24
|
|
|
|
|
Peter G. Anick , Rex A. Flynn , David R. Hanssen, Addressing the requirements of a dynamic corporate textual information base, Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval, p.163-172, October 13-16, 1991, Chicago, Illinois, United States
|
|
|
|
|
|
|
|
|
|
|
|
W. Bruce Croft , Howard R. Turtle , David D. Lewis, The use of phrases and structured queries in information retrieval, Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval, p.32-45, October 13-16, 1991, Chicago, Illinois, United States
|
|
|
Kalervo Järvelin , Jaana Kristensen , Timo Niemi , Eero Sormunen , Hiekki Keskustalo, A deductive data model for query expansion, Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval, p.235-243, August 18-22, 1996, Zurich, Switzerland
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Hsinchun Chen , Bruce Schatz , Tobun Ng , Joanne Martinez , Amy Kirchhoff , Chienting Lin, A Parallel Computing Approach to Creating Engineering Concept Spaces for Semantic Retrieval: The Illinois Digital Library Initiative Project, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.18 n.8, p.771-782, August 1996
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|