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CS6501 Information Retrieval Course Policy

CS6501 Information Retrieval Course Policy. Hongning Wang CS@UVa. Goal of this course. Introduce core IR concepts What is behind a commercial search engine Wide coverage of many IR applications E.g., text mining, recommendation, personalization

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CS6501 Information Retrieval Course Policy

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  1. CS6501 Information Retrieval Course Policy Hongning Wang CS@UVa

  2. Goal of this course • Introduce core IR concepts • What is behind a commercial search engine • Wide coverage of many IR applications • E.g., text mining, recommendation, personalization • Get hands on experience by developing practical systems/components • Prepare students for doing cutting-edge research in IR and related fields • Open the door to the amazing job opportunities in search and e-commerce industry CS6501: Information Retrieval

  3. Structure of this course • Lecture based • Seven major topics will be covered in the course • E.g., search engine architecture, retrieval models and retrieval evaluation • Introduce both classical and modern IR techniques • E.g., Classical ranking model v.s. learning-based approach CS6501: Information Retrieval

  4. Grading policy • Homework (25%) • Written assignments (~3) • Machine problems (~3) • Midterm (25%) • Paper presentation (15%) • Graded by peer-review • Course project (40%) • Research/development-oriented • Work in group CS6501: Information Retrieval

  5. Prerequisite • Programming skills • Basic data structures: CS 2150 or equivalent • Java is required for two machine problems • Lucene is written in Java • Any language you choose for the rest of this course • Resources: Google/Bing, stackoverflow, Piazza • Math background • Probability • discrete/continuous distributions • Expectation, moments • Linear algebra • Vector, matrix, dot product CS6501: Information Retrieval

  6. Paper presentation • Let students present the state-of-the-art IR research • Choosing from recommended readings, or your favorite paper outside the list • 10-mins presentation + 2-mins Q&A • One paper one student • Register your choice early, first come first serve • Will be graded by the instructor and other students CS6501: Information Retrieval

  7. Course project • Appreciate research-oriented problems or “deliverables” • Work in groups (not required) • Project proposal (20%) • Discuss your topic with peers or the instructor • Written report • Project report (40%) • Due before final presentation • Project presentation (40%) • 20-mins in-class presentation • 5-mins Q&A CS6501: Information Retrieval

  8. Late policy • Homework • Everyone will have one chance to ask for extension (extra three days after deadline) • Midterm • No make-up exams unless under emergency situation • Paper presentation • Must be presented on your selected date • Course project • Proposal due early in the semester (~5th week) • Final report due before presentation (no extension) CS6501: Information Retrieval

  9. Contact information • Lecture • Instructor: Hongning Wang • Time: Tuesday/Thursday 9:30am to 10:45am • Location: Rice Hall 340 • Office hour • Instructor’s • Time: Thursday 11am to 12pm • Location: Rice Hall 408 • TA’s • Time: Tuesday 2pm to 4pm • Location: Rice Hall 532 • Course website • Website: http://sifaka.cs.uiuc.edu/~wang296/Course/IR_Fall/ • Piazza: https://piazza.com/virginia/fall2014/cs6501/home CS6501: Information Retrieval

  10. Thank you! Questions? CS6501: Information Retrieval

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