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Information Retrieval (Odd Sem 2019)

Course Code: IINR340E
Class Room: 5006
Schedule: Wednesday 7PM to 8PM and Friday 10AM to 12PM
TAs: Shrikant Malviya, Rohit Mishra
Google Classroom Code:  78l2nkw
Syllabus: Information Retrieval Syllabus

PPT Slides:
  1. Information Retrieval : Intro
  2. Dictionary and Postings
  3. Tolerant Retrieval
  4. Term weighting and Vector space retrieval
  5. Evaluation
  6. LSI
  7. Query Expansion
  8. Probabilistic Information Retrieval
  9. Naïve Bayes Text Classification
  10. Latent Semantic Indexing
  11. XML Indexing and Search
  12. Content Based Image Retrieval
Reference PPT: Stanford IR Course Slides by Christopher D. Manning
Reference Books:
  1. Natural Language Processing And Information Retrieval by Tanveer Siddiqui and U. S. Tiwary
  2. Introduction to Information Retrieval by Christopher D. Manning
Reference for Python 3:
    1. Introduction to Python Programming 3
    2. Dive into Python 3
    3. Google for Education > Python
    4. Tutorial Point > Python 3
Extra Materials:
  1. B+Trees
  2. Jaccard Similarity
  3. Topic Mining and PLSA [ Lecture Series]
    • Probabilistic Topic Models [ppt]
    • Working of Bayes Theorem (video)
  4. SVD and LSI Tutorial (pdf)
    1. LSI using SVD (Tutorial)
  5. Bayesian Network [videos]
    • Bayesian Network [pdf]
  6. Indexing by Latent Sematic Analysis [pdf]
  7. Courses:
    1. Information Retrieval (Stanford CS 276 / LING 286)
    2.  Lecture Notes of Information Retrieval, CSCI4141-6403
Interesting Things:
  1. The Zipf Mystery (Video)

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