The explosive growth of available data on the Internet demands intelligent information systems that can sift through all available information and find out the most valuable and relevant information. This course studies the basic principles and practical algorithms used for those Web Information Systems. The contents include: Web search, recommendation system, Web information extraction, etc. The course emphasizes both the above applications and solid modeling techniques that can be extended for other applications. For more information, please see http://www.cs.purdue.edu/homes/lsi/CS490W_Fall_2008/Course_Description.pdf

Homepage	http://www.cs.purdue.edu/homes/lsi/CS490W_Fall_2008/Course_Description.pdf
Usually Offered:	Fall
Credit:	3 hours (class)
Prerequisite:	CS 251. A reasonable background in C/C++ programming preferred