- Week -	- Topics / Activities -	- Students' responsibilities - (During and/or after class)
Textbook IR: general topics
* 1 * Fri, Sep 03 Slides in HTML and PDF	Introduction and overview of the course.	Get familiar with the course website. Set up your course website on eden. Send me email with your details (use students.xml template).
* 2 * Fri, Sep 10 Slides in HTML and PDF	Introduction to IR. Information vs data retrieval. What do we want from IR ? Introduction to evaluation.
* 3 * Fri, Sep 17 Slides in HTML and PDF	IR concepts. Aboutness. Relevance. Rationalist vs. empriricist approaches (AI vs. Stats) Design decisions for IRS; automatic vs. manual/intellectual systems. Student presentations: MarinaMalysheva: "Indexing by latent semantic analysis"; Cathy Smith: "Relevance - A conceptual and practical overview"; Iliana Chaleva: "Empiricists vs. Rationalists".
* 4 * Fri, Sep 24 Slides in HTML and PDF	Indexing. Document and query representation. Manual vs. automatic indexing.	Look at an example of a document collection, a stopword list, an indexed collection and an inverted file. Formulate a few boolean queries and figure out the result of a boolean search.
* 5 * Fri, Oct 01 Slides in HTML and PDF	Automatic indexing. Lexical analysis. Weighting. Data structures.	Lab work. Homework (to be graded).
* 6 * Fri, Oct 08 Slides in HTML and PDF	Models of IR. Interaction models. Indexing models. Language models. Topic models. User models. Information Retrieval as interaction. Evaluation of interactive systems.
* 7 * Fri, Oct 15 Slides in HTML and PDF	User interfaces and Information Visualization for IR Part I: Interaction models. Part II : Tools and techniques. ClusterBook (HTML and PDF).	Lab work. Homework.
* 8 * Fri, Oct 22	Invited lecture: Dr. Anselm Spoerri, SCILS - MetaCrystal. Student presentations.
* 9 * Fri, Oct 29 Slides in HTML and PDF	Evaluation of interactive systems.	Homework.
* 10 * Fri, Nov 05 Slides in HTML and PDF	Evaluation of IR systems.	Lab work / homework.
* 11 * Fri, Nov 12	Evaluation of IR systems.
Advanced IR: current research topics
* 12 * Fri, Nov 19	Project work.
* 13 * Fri, Nov 26	Thanksgiving, no class.
* 14 * Fri, Dec 03 Slides	AI and IR. Machine learning and data mining for IR. Invited lecture: Dr. James G. Shanahan Principal Research Scientist Clairvoyance Corporation	(Also see Lewis' tutorial)
* 15 * Fri, Dec 10	Cathy Smith: Statistical model for IR. Language models. Iliana Chaleva: IR on the WWW. Topic modeling. Web IR Structure. Clustering vs. classification. Informetrics and IR. The Semantic Web.
* 16 * Fri, Dec 17	Yoo-Jin Ha: Cross-language IR. Marina Malysheva: Natural language processing for IR. Collaborative and recommender systems. Personalization and user modeling. Implicit vs. explicit feedback. Document summarization. Information extraction. Multimedia IR (image, video, music, ...). IR for structured documents. INEX.