Computer scientists, electronic engineers, and other contributors explore applications of artificial intelligence to systems that recommend products based on a consumer's previous choices or other information. On-line shopping sites often use such systems. Among the topics are building recommender systems for detecting network intrusion using intelligent design technologies, novel approaches and case studies in intelligent techniques in recommender systems and contextual advertising, rough web intelligent techniques for page recommendation, modeling clearance sales outshopping behavior using a neural network model, and a hybrid neural genetic architecture.
– Annotation ©2013 Book News Inc. Portland, OR