Quarter
Faculty Reference
Tao Yang
Course Type
Course Area
Applications
Enrollment Code
57794
Location
Phelp 3526
Units
4
Day and Time
MW 1:00-2:50
Course Description

This course covers advanced topics on information retrieval, web search, and related scalable information systems. The topics include search engines and advertisements, web crawling, classification, indexing and data serving, ranking and recommendation, user behavior analysis, and online services. This course will also cover system and middleware support for building related large-scale Internet services.

Topics:

Information retrieval and search engines. Open-source systems.
Crawling, indexing and data compression
User behavior analysis and data analytics.
Ranking, classification, and recommendation.
Programming and system support for scalable data processing and online services

Expected Work:

Project/review presentation. Homework assignments. Take-home exams.

Weekly Schedule:

Tentative schedule 
Deadlines

References

Bruce Croft, Donald Metzler, Trevor Strohman, Search Engines: Information Retrieval in Practice, Publisher: Addison-Wesley, 2010. Book website .Christopher D. Manning, Prabhakar Raghavan, and Hinrich Schütze, Introduction to Information Retrieval, Cambridge University Press. 2008. HTML edition of the book here.Ricardo Baeza-Yates and Berthier Ribeiro-Neto, Modern Information Retrieval (second edition), Addison-Wesley, 2011. Book website .Charles L. A. Clarke, Stefan Buettcher, Gordon V. Cormack, Information Retrieval: Implementing and Evaluating Search Engines, MIT Press Book website .