Lecture 01: Introduction to Information Retrieval (Mar 1)
Lecture 02: Boolean Retrieval and Term Indexing (Mar 8)
Lecture 03: Data Structures in IR and Tolerant Retrieval (Mar 15)
Lecture 04: Term Weighting and Vector Space Model (Mar 22)
Exercises 01: Covers L1-L3 (Mar 22)
Easter break: Mar 29 & Apr 5
Lecture 05: Probabilistic IR (Apr 12)
Lecture 06: Language Modeling for IR (Apr 19)
Lecture 07: Relevance Feedback and Query Expansion (Apr 26)
Exercise 02: Covers L4-L6 (Apr 26)
Lecture 08: Latent and Semantic Information Retrieval Models (May 3)
Lecture 09: Classification, Clustering, Learning to Rank (May 10)
Lecture 10: Neural Information Retrieval (May 19)
Exercise 03: Covers L7-L9 (May 19)
Lecture 11: Cross-Lingual Retrieval (May 31)
Lecture 12: IR Evaluation & Link Analysis (June 7)
Exercise 04: Covers L10-L12 (June 7)
Level: Master (Diploma)
Given the vastness and richness of the Web, users need high-performing, scalable and efficient methods to access its wealth of information and satisfy their information needs. As such, being able to search and effectively retrieve relevant pieces of information from large text collections is a crucial task for the majority (if practically not all) of Web applications. In this course we will explore a variety of basic and advanced techniques for text-based information retrieval and Web search. Coursework will include exercises, and a final exam (IE 663). Homework assignments are meant to introduce the students to the problems that will be covered in the final exam.
For the IR project course, IE 691, students are expected to successfully complete a team project in teams of 3 people. The projects will focus on a variety of IR problems covered in class. Project deliverables include both software (i.e., code and documentation) and a short report explaining the work performed and its evaluation.
B. Croft, D. Metzler, T. Strohman, Search Engines: Information Retrieval in Practice, Addison-Wesley, 2009 (available at http://ciir.cs.umass.edu/irbook/).
R. Baeza-Yates, B. Ribeiro-Neto, Modern Information Retrieval, Addison-Wesley, 2011 (2nd Edition).
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