- 1 Allen, R. User models: Theory method and practice. Int. J. Man- Machine Stud. 32 (1990), 511-543 Google ScholarDigital Library
- 2 Bates, M.J. Subject access in online catalogs: A design model, J. Am, Soc. Inf, Sci. 37 (1986), 357-376,.Google Scholar
- 3 Belkm, N,J. and Croft, W.B. Information filtering and information retrieval: Two sides of the same coin. Commun. ACM 35, 12 (Dec. 1992), Google ScholarDigital Library
- 4 Belkin, N.J., Brooks. H.M. and Daniris, P.J.-Knowledge eticitation using discourse analysis. Int. J. Man- Machine Stud. 27 (1987), 127-144. Google ScholarDigital Library
- 5 Blair, D.C. and Maron, M.E. A, eval. uation of retrieval effectiveness for a full-text document retrieval system. Commun. ACM 28 (1985), 289-299. Google ScholarDigital Library
- 6 Deerwestcr, S., Dumais, S.T., Furnas, G.W., Landauer, T.K. and Harshman, R. Indexing by Latent Semantic Analysis. J. Am. Soc. Inf. Sci. 41, 6 (1990), 391-407.Google Scholar
- 7 Dumais, S.T. Imptroving the retrieval of information from external sources. Behav. Res. Meth. Instr. Comput. 23, 2 (1991), 229-236.Google ScholarCross Ref
- 8 Foltz, P.W. Using Latent Semantic Indexing for information filtering. In Proceedings of theACM Conference on Office Information Systems (Boston, Apr. 25-27). ACM/SIGOIS, New York, 1990, pp, 40--47, Google ScholarDigital Library
- 9 Furnas, G.W., Deerwester, S., Dumais, S.T., Landauer, T. K., Harshman R.A. Streeter, L.A. and Lochbaum, K.E. information retrieval using a singular value decomposition model of latent semantic structure. In Proceedings of the 11th International Conference on Research and Development in IR (June 13-15, Grenoble, France), ACM/SiGIR, New York, 1988, pp. 465-480. Google ScholarDigital Library
- 10 Furnas, G.W., Landauer, T.K., Gomex, L.M. and Durmais, S.T. Statistical semantics Analysis of the potential performance of keyword information systems. Bell Syst. Tech. J. 62, 6 (1983}, 1753-1806,Google ScholarCross Ref
- 11 Housernan, E.M. and Kaskela, D.E. State of the art of selective dissemination of information. IEEE Trans. Eng. Writing Speech III, 2 (1970), 78-83.Google Scholar
- 12 Mackay, W.E., Malone, T.W., Crowston, K., Rao, R. Rosenblitt, D., and Card, S.K. flow do experienced information lens user use rules? In Proceeding of ACM CHI '89 Conference on Hiuman Factors in Computing System, (Austin, Tex. Apr. 30-May 4). ACM/ SIGCHI, New York, 1989, pp. 211- 216. Google ScholarDigital Library
- 13 Malone, T.W., Grant, K.R., Lai, K.Y., Rao, R. and Rosenblitt, D.R, Semistructured messages are surprisingly useful for computer supported coordination. ACM Trans. Off, Inf. Syst, 5, 2 (1987), 115-131 Google ScholarDigital Library
- 14 Packer, K.H. and Soergel, D. The importance of SDI for current awareness in fields with severe scatter of information. J. Am, Soc. Inf.Sci. 30, 3 (1979), 125-135.Google ScholarCross Ref
- 15 Saracevic, T. and Kantor, P. A study of information seeking and retrieving. III. Searchers, searches and overlap. J. Am. Soc. Inf. Sci. 39, 3 (1988), 197-216.Google Scholar
- 16 Salton, G. and Buckley, C. Improving retrieval performnce by relevance feedback. J. Am. Soc. Inf. Sci. 41, 4 (1990), 288-297.Google ScholarCross Ref
- 17 Salton, G. and McGiil, M.I. Introduction to Modern Information Retrieval. McGraw-Hill, New York, 1983. Google ScholarDigital Library
- 18 Turtle, H, and Croft, W.B. Evaluation of an inference network-based retrieval model. ACM Trans. Inf. Syst. 9, 3 (1991), 187-222. Google ScholarDigital Library
- 19 van Rijsbergen, C.J. Information: Retrieval, Butterworths, London, 1979. Google ScholarDigital Library
Index Terms
- Personalized information delivery: an analysis of information filtering methods
Recommendations
On the analysis and evaluation of information retrieval models for social book search
AbstractSocial Book Search (SBS) studies how the Social Web impacts book retrieval. This impact is studied in two steps. In this first step, called the baseline run, the search index having bibliographic descriptions or professional metadata and user-...
Design a batched information retrieval system based on a concept-lattice-like structure
Highlights- Creatively propose the concept of Batched information retrieval, which significantly improves retrieval efficiency in certain scenes.
AbstractNowadays, as is envisioned as one of the most popular and challenging research areas due to the rapid growth of web data, information retrieval (IR) serves as a fundamental technology in large scale dataset processing and analyzing. IR ...
A Krylov Subspace Method for Information Retrieval
A new algorithm for information retrieval is described. It is a vector space method with automatic query expansion. The original user query is projected onto a Krylov subspace generated by the query and the term-document matrix. Each dimension of the ...
Comments