User Adaptation Using User Model in Intelligent Image Retrieval System


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 6, No. 12, pp. 3559-3568, Dec. 1999
10.3745/KIPSTE.1999.6.12.3559,   PDF Download:

Abstract

The information overload with many information resources is an inevitable problem in modern electronic life. It is more difficult to search some information with user's information needs from an uncontrolled flood of many digital information resources, such as the internet which has been rapidly increased. So, many information retrieval systems image retrieval systems, they have not properly dealt with user's information needs. In this paper, for resolving this problem, we proposed the intelligent user interface for image retrieval. It is based on HCOS(Human-COmputer Symmetry) model which is a layed interaction model between a human and computer. Its' methodology is employed to learning algorithms, between tree and backpropagation neural network, for user adaptation capabilities of intelligent image retrieval system(IIRS).


Statistics
Show / Hide Statistics

Statistics (Cumulative Counts from September 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article
[IEEE Style]
Y. H. Kim and P. K. Rhee, "User Adaptation Using User Model in Intelligent Image Retrieval System," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 6, no. 12, pp. 3559-3568, 1999. DOI: 10.3745/KIPSTE.1999.6.12.3559.

[ACM Style]
Yong Hwan Kim and Phil Kyu Rhee. 1999. User Adaptation Using User Model in Intelligent Image Retrieval System. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 6, 12, (1999), 3559-3568. DOI: 10.3745/KIPSTE.1999.6.12.3559.