This course will examine the design, implementation, and evaluation of
information retrieval systems, such as Web search engines, as well as new and
emerging technologies to build the next generation of intelligent and
personalized search tools and Web information systems. We will focus on the
underlying retrieval models, algorithms, and system implementations, such as
vector-space and probabilistic retrieval models, as well as the PageRank
algorithm used by Google. We will also study more advanced topics in intelligent
information retrieval and filtering, particularly on the World Wide Web,
including techniques for document categorization, automatic concept discovery,
recommender systems, discovery and analysis of online communities and social
networks, and personalized search. Throughout the course, current literature
from the viewpoints of both research and practical retrieval technologies both
on and off the World Wide Web will be examined.
