1. This course introduces some recent development on the search engine and social network.
2. Topics include Web 2.0, search engine architecture, PageRank, HITS, social network, collaborative filtering, etc.

Note: This class will be taught in English. Homework assignments and examinations will be conducted in English.

The pdf files are created so that they can be opened by Adobe's Acrobat. Please obtain the correct version of the Acrobat Reader from Adobe.

1. Lecture notes [ pdf ]
2. Tutorial notes [ color pdf | b&w pdf ]
3. Practical Excel file [ Excel file ]

1. Modern Information Retrieval, Ricardo Baeza-Yates and Berthier Ribeiro-Neto, ACM Press, 1999.
2. Information Retrieval: Data Structures and Algorithms, William B. Frakes and Ricardo Baeza-Yates, Prentice Hall, 1992.
3. Information Retrieval: Algorithms and Heuristics, David A. Grossman and Ophir Frieder, Springer, 2004.
4. Understanding Search Engines: Mathematical Modeling and Text Retrieval, Michael Berry, Murray Browne, and Jack Dongarra, SIAM Society for Industrial and Applied Mathematics, 2005.
5. Managing Gigabytes: Compressing and Indexing Documents and Images, Ian H. Witten, Alistair Moffat, and Timothy C. Bell, Morgan Kaufmann, 1999.
6. The Geometry of Information Retrieval, C. J. van Rijsbergen, Cambridge University Press, 2004.

• 1. Q: Where is a good jump off point for this class?

A: You can read many of the topic discussed on Wikipedia. Since this is a course on search engine, use it also to learn more in-depth knowledge on the topics that interest you.