Announcements

• Welcome to the Knowledge Discovery in Social and Information Networks class!

Syllabus

Topics [PDF]

Instructor:	Cornelia Caragea
Office:	Room 434
Email:	ccaragea [[at]] unt [[dot]] edu
WWW:	http://www.cse.unt.edu/~ccaragea/
Lectures:	Mon, Tue, Wed, Thr, & Fri 2:00pm - 6:00pm, Room TBD
Office hours:	By appointment, Room 434
Description:	The course objectives are to understand information retrieval algorithms and identify challenging problems on the Web.The course will cover both traditional and newly developed algorithms in information retrieval and Web search and their Web applications. Examples of topics include: indexing, processing, and querying textual data; basic retrieval models: boolean retrieval, the vector space model, probabilistic IR, “intelligent” IR systems; relevance feedback and query expansion; Web crawling and search; link analysis; text classification and clustering.

Books

Required textbooks

• Networks, Crowds, and Markets: Reasoning About a Highly Connected World by David Easley and Jon Kleinberg. Online version available at: http://www.cs.cornell.edu/home/kleinber/networks-book/
• Introduction to Information Retrieval by Christopher D. Manning, Prabhakar Raghavan and Hinrich Schutze. Cambridge University Press, 2008. Online version available at: http://nlp.stanford.edu/IR-book/.

Recommended textbooks

• Pattern Recognition and Machine Learning, Christopher Bishop.
• Readings in Information Retrieval by K. Sparck Jones and P. Willett Morgan Kaufmann, 1997.
• Modern Information Retrieval by Ricardo Baeza-Yates and Berthier Ribeiro-Neto Addison-Wesley, 1999.