CS635: Web Search and Mining
dead links to me.
- Soumen Chakrabarti
- Teaching assistants
- Mandar Joshi, Sumit Sahu.
- Time and place
- We are in slot 13,
Mon, Thu 6:35--8:00pm, LCH31.
But the room may be changed to a KR classroom.
- Visit the Moodle
site for CS635 here.
- Will be posted on Moodle.
- Lecture material
Books in decreasing order of use made in this course:
- Manning, C., Raghavan, P., and Schutze, H. (2007). An Introduction to
Information Retrieval. Cambridge University Press.
- Chakrabarti, S. (2002). Mining the
Web: Discovering knowledge from hypertext
- Baeza-Yates, R. and Ribeiro-Neto, B. (1999). Modern Information
Retrieval. Pearson Education.
- Witten, I. H., Moffat, A., and Bell, T. C. (1999). Managing
Gigabytes: Compressing and Indexing Documents and
- Grossman, D. A. and Frieder, O. (1998). Information Retrieval:
Algorithms and Heuristics. Kluwer.
- Croft, B., Metzler, D., and Strohman, T. (2009). Search Engines:
Information Retrieval in Practice. Pearson Education.
There will also be many papers, which will be linked off the
- Note updated weights: Credit students will need to write a
midterm exam (20%), a quiz (10%) and a final exam (50%). Programming
assignments (typically using Java, MG4J, WebGraph, Scilab and WEKA)
will be worth 20%.
- Audit students have to write all exams and score above the
bottom 30% of students to list the course.
Mtech1s, DD4s and Btech3s are the primary targets for this
course. But it is open to all PG, DD and Btech4 students of all
departments subject to department/facad approval. If you are CSE
Btech3, ask for my consent by email while citing your CPI and
grades in Paradigms and Prob/Stat.