%0 Journal Article %1 tauritz00 %A Tauritz, D. R. %A Kok, J. N. %A Sprinkhuizen-Kuyper, I. G. %D 2000 %I Elsevier Sciences %J Information Sciences %K adaptive evolutionary_computation information_filtering %N 2--4 %P 121--140 %T Adaptive Information Filtering using Evolutionary Computation. %V 122

@article{tauritz00, added-at = {2009-06-22T17:28:38.000+0200}, author = {Tauritz, D. R. and Kok, J. N. and Sprinkhuizen-Kuyper, I. G.}, biburl = {https://www.bibsonomy.org/bibtex/2ff43c469ab8ccf5b3ed40b368ef7ccb4/lefteris8}, interhash = {40de382490b5e46038611090730d9c43}, intrahash = {ff43c469ab8ccf5b3ed40b368ef7ccb4}, journal = {Information Sciences}, keywords = {adaptive evolutionary_computation information_filtering}, number = {2--4}, pages = {121--140}, publisher = {Elsevier Sciences}, qnote = {Another paper in the domain of adaptive information filtering. However not a very interesting approach and with out a lot to contribute to my idea. The trigram analysis have some advantages but has the great disadvantage that the user can not visualize what is included in the profile. Some of the problems of information filtering systems mentioned in the paper are overcomed by my approach.}, timestamp = {2009-06-22T17:28:40.000+0200}, title = {Adaptive Information Filtering using Evolutionary Computation.}, volume = 122, year = 2000 }