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CS 276 / LING 286 |
Lecture: 3 units, Tu/Th 4:15-5:30
Gates B03
TAs: Sonali Aggarwal, Ivan Cui, Valentin Spitkovsky and Sandeep Sripada
Staff e-mail: cs276-spr1011-staff@lists.stanford.edu
Lectures are also available online and on television through SCPD/SITN.
Basic and advanced techniques for text-based information systems: efficient text indexing; Boolean and vector space retrieval models; evaluation and interface issues; Web search including crawling, link-based algorithms, and Web metadata; text/Web clustering, classification; text mining.
Piazzza: We strongly recommend students to post questions to the course page on www.piazzza.com (instead of sending emails). This forum enables students to discuss the questions they encounter in lectures or assignments. Here is a quick introduction video. .
Email: If you have a question not appropriate for the piazzza forum (e.g., one that is only relevant to your situation or one that reveals part of your solution to a homework question), please email the staff mailing list at cs276-spr1011-staff@lists.stanford.edu.
Professor: Pandu Nayak
Office: none on campus
Office Hours: by appointment
Email: nayak@cs.stanford.edu
Professor: Prabhakar Raghavan
Office: none on campus
Office Hours: by appointment
Email: pragh@cs.stanford.edu
TA: Sonali Aggarwal
Office Location: B26(A), Ph: (650)723-6319
Office Hours: Wednesday 4:30pm - 6:30pm
Email: sonali9@stanford.edu
TA: Ivan Cui
Office Location: B26(B), Ph: (650)736-1817
Office Hours: Monday 2:15pm - 4:15pm
Email: ivancui@stanford.edu
TA: Valentin Spitkovsky
Office Location: Gates 228 (second floor)
Office Hours: Thursday 2:15pm - 4:15pm
Email: vals@stanford.edu
TA: Sandeep Sripada
Office Location: B26(A), Ph: (650)723-6319
Office Hours: Tuesday 5:30pm - 7:30pm*
* - remember to carry your Stanford ID to open the basement doors
Email: sss@cs.stanford.edu
Announcements: If you are not registered in the course but wish to receive course announcements, you may subscribe to the guest mailing list cs276-spr1011-guests@lists.stanford.edu.
Introduction to Information Retrieval, by C. Manning, P. Raghavan, and H. Schütze. Cambridge University Press.
Available from the Stanford bookstore or other fine retailers. You can also download and print chapters at the book website.
Prerequisites:
CS 103B and CS 107, and any one of CS 121, CS 145, or CS 161, or equivalent background.
Programming experience will be necessary for the two practical exercises.
Related Courses:
Introduction to Computational Advertising (http://www.stanford.edu/class/msande239/)