𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Modeling users through an expert system and a neural network

✍ Scribed by C. Moghrabi; M.S. Eid

Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
291 KB
Volume
35
Category
Article
ISSN
0360-8352

No coin nor oath required. For personal study only.

✦ Synopsis

With the number of Interact and Web users increasing rapidly, electronic service providers are competing to satisfy and better serve customers looking for information or channels of advertisement. A wide variety of browses, specialized sites, custom made software, etc. are being offered on a regular basis. However, the user has to filter through a large number of files before finding what he/she is really looking for. This paper presents a user modeling expert system, SIGMA, based on neural networks for encapsulating Internet and Web users' habits and preferences. SIGMA is an artificial intelligence application designed to answer an Internet client needs and preferences. It analyses the user supplied demographic data and the monitored transactions then generate a tailored profile that is ultimately used to filter what information is being passed on to him/her in an effort to reduce and hopefully eliminate the time and energy expended in sifting through raw and often unwanted data.

πŸ“œ SIMILAR VOLUMES

98/04013 Combustion optimization using a
98/04013 Combustion optimization using an expert system and neural networks
πŸ“‚ Article πŸ“… 1998 πŸ› Elsevier Science βš– 212 KB

09 Combustion (burners, combustion systems) NO, reduction, but less effective for NzO reduction; the optimum value of the ratio of primary/ total air was -0.8 for minimizing NO, emissions. Limestone injection at calcium-sulfur molar ratios >2:1 made it possible to remove >90% of SOz formed, although

A temporal neural network model for cons
A temporal neural network model for constructing connectionist expert system knowledge bases
✍ Ferda N. Civelek-Alpaslan; Kathleen M. Swigger πŸ“‚ Article πŸ“… 1996 πŸ› Elsevier Science 🌐 English βš– 121 KB

This paper introduces a temporal feedforward neural network model that can be applied to a number of neural network application areas, including connectionist expert systems. The neural network model has a multi-layer structure, i.e. the number of layers is not limited. Also, the model has the flexi

Use of neural network techniques in a me
Use of neural network techniques in a medical expert system
✍ D. L. Hudson; M. E. Cohen; M. F. Anderson πŸ“‚ Article πŸ“… 1991 πŸ› John Wiley and Sons 🌐 English βš– 573 KB

Expert systems in medicine have relied heavily upon knowledge-based techniques, in which decision making rules or strategies are derived through consultation with experts. These techniques, coupled with methods of approximate reasoning, have produced systems which model the human decision making pro