A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2011; you can also visit the original URL.
The file type is application/pdf
.
A Hybrid Web Recommender System Based on Cellular Learning Automata
2010
2010 IEEE International Conference on Granular Computing
With the rapid growth of the World Wide Web (WWW), finding useful information from the Internet has become a critical issue. Web recommender systems help users make decisions in this complex information space where the volume of information available to them is huge. Recently, a number of web page recommender systems have been developed to anticipate the information needs of on-line users and provide them with recommendations to facilitate and personalize their navigation. Recent studies show
doi:10.1109/grc.2010.153
dblp:conf/grc/TalabeigiFM10
fatcat:t77c5grc4zc2dnfy7nkmg3p43i