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CS 276 / LING 286 |
Lecture: 3 units, Tu/Th 4:15-5:30
Gates B01
Review Section: 0 units, Tu 1:15-2:05 in Skilling 193 (held 6 times per quarter, one per assignment/exam, see the syllabus for specific dates)
TAs: Andrey Gusev, Shakti Sinha, Roshan Sumbaly
Staff e-mail: cs276-aut0910-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.
Newsgroup: We strongly recommend students to post questions to the course newsgroup su.class.cs276 (instead of sending emails). This forum enables students to discuss the questions they encounter in lectures or assignments. For information about how to access the newsgroup see A Stanford Intro to Usenet .
Email: If you have a question not appropriate for the newsgroup (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-aut0910-staff@lists.stanford.edu.
Professor: Christopher Manning
Office: Gates 158
Office Hours: Monday 3:30pm - 4:30pm
Office Hours: Thursday 11:00am - 12:00pm
Email: manning@cs.stanford.edu
Professor: Prabhakar Raghavan
Office: none on campus
Office Hours: by appointment
Email: pragh@yahoo-inc.com
TA: Shakti Sinha
Office: Gates B24A, (650)725-4385
Office Hours #1: Thursday 2:30pm - 4:00pm
Office Hours #2: Friday 5:30pm - 7:00pm (remember to carry your Stanford ID to open the basement doors)
Email: shakti@stanford.edu
TA: Roshan Sumbaly
Office: Gates B26A, (650)723-6319
Office Hours #1: Tuesday 2:30pm - 4:00pm
Office Hours #2: Friday 1:30pm - 3:00pm
Email: rsumbaly@stanford.edu
TA: Andrey Gusev
Office Hours #1: Monday 2:30pm - 4:00pm Gates B24B,(650)736-1816
Office Hours #2: Wednesday 11:00am - 12:30pm Gates B26A, (650)723-6319
Email: agusev@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-aut0910-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/)