Information Retrieval

Catalog description

This course introduces the theory, design, and implementation of text-based and Web-based information retrieval systems. Students learn the key concepts and models relevant to information retrieval and natural language processing on largescale corpus such as the Web and social systems. Topics include vector space model, crawling, indexing, web search, ranking, recommender systems, embedding and language model. Prerequisites: statistical learning at the level of DS 502/MA 543 and programming skills at the level of CS 5007.