Information Retrieval

Course classification: 
Elective Subject for Major
Course number: 
M1522.001500
Year: 
Graduate
Credit: 
3

What are the essential underlying technologies for designing and implementing large scale search engines? How can we search important information from massive collection of documents and multimedia data? This course covers the theory, design, and implementation of essential technologies in search engines. Main topics include search engine platform technology (inverted index, distributed indexing, index compression), statistical characteristics of text (TF-IDF, weighted scoring), representation of information needs and documents, several important retrieval models (PageRank, vector space, Bayesian search), and experimental evaluation.