Hypertext systems allow flexible access to topics of information, but this flexibility has disadvantages. Users often become lost or overwhelmed by choices. An adaptive hypertext system can overcome these disadvantages by recommending information to users based on their specific information needs and preferences. Simple associative matrices provide an effective way of capturing these user preferences. Because the matrices are easily updated, they support the kind of dynamic learning required in an adaptive system.
%0 Journal Article
%1 Kaplan1993
%A Kaplan, Craig
%A Fenwick, Justine
%A Chen, James
%D 1993
%J User Modeling and User-Adapted Interaction
%K adaptive, hypermedia, increase, navigation
%N 3
%P 193--220
%R http://dx.doi.org/http://dx.doi.org/10.1007/BF01257889
%T Adaptive hypertext navigation based on user goals and context
%U http://dx.doi.org/http://dx.doi.org/10.1007/BF01257889
%V 3
%X Hypertext systems allow flexible access to topics of information, but this flexibility has disadvantages. Users often become lost or overwhelmed by choices. An adaptive hypertext system can overcome these disadvantages by recommending information to users based on their specific information needs and preferences. Simple associative matrices provide an effective way of capturing these user preferences. Because the matrices are easily updated, they support the kind of dynamic learning required in an adaptive system.
@article{Kaplan1993,
abstract = {Hypertext systems allow flexible access to topics of information, but this flexibility has disadvantages. Users often become lost or overwhelmed by choices. An adaptive hypertext system can overcome these disadvantages by recommending information to users based on their specific information needs and preferences. Simple associative matrices provide an effective way of capturing these user preferences. Because the matrices are easily updated, they support the kind of dynamic learning required in an adaptive system.},
added-at = {2009-01-08T14:25:39.000+0100},
author = {Kaplan, Craig and Fenwick, Justine and Chen, James},
biburl = {https://www.bibsonomy.org/bibtex/273b1de290a730b03201df76c7ec4bbac/hoever},
citeulike-article-id = {3847927},
doi = {http://dx.doi.org/http://dx.doi.org/10.1007/BF01257889},
interhash = {182335469a81f24687bf8c2d971a22ab},
intrahash = {73b1de290a730b03201df76c7ec4bbac},
journal = {User Modeling and User-Adapted Interaction},
keywords = {adaptive, hypermedia, increase, navigation},
number = 3,
pages = {193--220},
posted-at = {2009-01-04 19:07:16},
priority = {2},
timestamp = {2009-01-08T14:25:41.000+0100},
title = {Adaptive hypertext navigation based on user goals and context},
url = {http://dx.doi.org/http://dx.doi.org/10.1007/BF01257889},
volume = 3,
year = 1993
}