INF 384H - Concepts of Information Retrieval
The science and engineering of building automated search engines: foundations and emerging methods, key models and approaches, front-end usability and back-end algorithms, theories of relevance, annotation practices, and system evaluation/benchmarking.
Three lecture hours a week for one semester.
Foundations and emerging areas of research in information retrieval and filtering, including system evaluation, major underlying models in the field, empirical methods of document classification, and applications of data mining techniques (such as clustering and dimensionality reduction) for information management.
Cross-listed as C S 398T and INF 350E (undergraduate).