11-741 Information Retrieval Units: 12.0 Department: Language Technologies Related URLs: http://www.lti.cs.cmu.edu/ This course studies the theory, design, and implementation of text-based information systems. The Information Retrieval core components of the course include statistical characteristics of text, representation of information needs and documents, several important retrieval models (Boolean, vector space, probabilistic, inference net, language modeling), clustering algorithms, automatic text categorization, and experimental evaluation. The software architecture components include design and implementation of high-capacity text retrieval and text filtering systems. A variety of current research topics are also covered, including cross-lingual retrieval, document summarization, machine learning, topic detection and tracking, and multi-media retrieval. Prerequisites: Programming and data-structures at the level of 15-212 or higher. Algorithms comparable to the undergraduate CS algorithms course (15-451) or higher. Basic linear algebra (21-241 or 21-341). Basic statistics (36-202) or higher.

Discuss this course  Textbook prices  View FCE Results  View FCE Results Prior to Fall 2004  Check Availability   Popularity index Rank for this semester: #951 Rank in this department: #4   Students also scheduled 93-895 Management Seminar for Artists 11-761 Language and Statistics 10-601 Machine Learning 46-950 Numerical Methods 32-100 Naval Laboratory 17-791 Software Engineering Seminar 11-792 Software Engineering for Informatio... 32-312 Naval Ship Systems II-Weapons 05-671 HCI Project 17-754 Analysis of Software Artifacts