TY - JOUR
T1 - Intelligent Internet searching agent based on hybrid simulated annealing
AU - Yang, Christopher C.
AU - Yen, Jerome
AU - Chen, Hsinchun
N1 - Funding Information:
Hsinchun Chen is a Professor of Management Systems at the University of Arizona and head of the UA/MIS Artificial Intelligence Group. He is also a Visiting Senior Research Scientist at National Center for Supercomputing Applications (NCSA). He is a PI of the Illinois Digital Library Initiative project, funded by NSF/ARPA/NASA, 1994–1998, and has received several grants from NSF, DARPA, NASA, NIH, and NCSA. He is the guest editor of IEEE Computer special issue on “Building Large-Scale Digital Libraries” and the Journal of the American Society for Information Science special issue on “Artificial Intelligence Techniques for Emerging Information Systems Applications”.
PY - 2000/5
Y1 - 2000/5
N2 - The World-Wide Web (WWW) based Internet services have become a major channel for information delivery. For the same reason, information overload also has become a serious problem to the users of such services. It has been estimated that the amount of information stored on the Internet doubled every 18 months. The speed of increase of homepages can be even faster, some people estimated that it doubled every 6 months. Therefore, a scalable approach to support Internet searching is critical to the success of Internet services and other current or future National Information Infrastructure (NII) applications. In this paper, we discuss a modified version of simulated annealing algorithm to develop an intelligent personal spider (agent), which is based on automatic textual analysis of the Internet documents and hybrid simulated annealing.
AB - The World-Wide Web (WWW) based Internet services have become a major channel for information delivery. For the same reason, information overload also has become a serious problem to the users of such services. It has been estimated that the amount of information stored on the Internet doubled every 18 months. The speed of increase of homepages can be even faster, some people estimated that it doubled every 6 months. Therefore, a scalable approach to support Internet searching is critical to the success of Internet services and other current or future National Information Infrastructure (NII) applications. In this paper, we discuss a modified version of simulated annealing algorithm to develop an intelligent personal spider (agent), which is based on automatic textual analysis of the Internet documents and hybrid simulated annealing.
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U2 - 10.1016/S0167-9236(99)00091-3
DO - 10.1016/S0167-9236(99)00091-3
M3 - Article
AN - SCOPUS:0033736930
SN - 0167-9236
VL - 28
SP - 269
EP - 277
JO - Decision Support Systems
JF - Decision Support Systems
IS - 3
ER -