- Week -	- Topics / Activities -	- Students' responsibilities - (During and/or after class)
Textbook IR: general topics
* 1 * Fri, Sep 02 Slides in HTML and PDF	Introduction and overview of the course.	Get familiar with the course website. Set up your course website on scils. Send me email with your details (use students.xml template). Play with Model.xls to solve the homework.If you need to, do some Excel practice.
* 2 * Fri, Sep 9 Slides in HTML and PDF	Introduction to IR. Information vs data retrieval. What do we want from IR ? Introduction to evaluation.
* 3 * Fri, Sep 16 Slides in HTML and PDF	IR concepts. Aboutness. Relevance. Rationalist vs. empiricist approaches (AI vs. Stats) Design decisions for IRS; automatic vs. manual/intellectual systems.
* 4 * Fri, Sep 23 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, Sep 30 Slides in HTML and PDF	Automatic indexing. Lexical analysis. Weighting. Data structures.	Lab work. Homework (to be graded).
* 6 * Fri, Oct 07 Slides in HTML and PDF	Models of IR. Interaction models. Indexing models. Language models. Topic models. User models. Relevance estimation models. Vector space model. Probabilistic model. Language models.	WebClusterLite lab work. WebClusterLite homework.
* 7 * Fri, Oct 14 Slides in HTML and PDF	Models of IR. Information Retrieval as interaction. Evaluation of interactive systems.	Lemur lab work. Lemur homework. (Old lab work. Old homework.)
* 8 * Fri, Oct 21 Slides in HTML and PDF	Evaluation of IR systems.	Lab work / homework.
* 9 * Fri, Oct 28	Greater Philadelphia DB/IR Day (Register in advance !)
* 10 * Fri, Nov 04	Evaluation of IR systems. Measures of performance.
* 11 * Fri, Nov 11 Slides in HTML and PDF	Introduction to Statistics and Hypothesis Testing. Practical evaluation.	Lab work / homework.
Advanced IR: current research topics
* 12 * Fri, Nov 18	INEX project work.	Optional homework.
* 13 * Fri, Nov 25	Thanksgiving, no class.
* 14 * Fri, Dec 02 Slides in HTML and PDF	User interfaces and Information Visualization for IR Part I: Interaction models. Part II : Tools and techniques. Mediated IR (HTML and PDF). AI and IR. Machine learning and data mining for IR.	(Also see a tutorial on ML )
* 15 * Fri, Dec 09	Topic modeling. Web IR Structure. Clustering vs. classification. Informetrics and IR. The Semantic Web.	See Ravi Kumar's tutorial on Internet Search.
* 16 * Fri, Dec 16 Slides in HTML and PDF	A review of ranking models. Cross-language IR. 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.	See Lavrenko's tutorial on Language Models.