Information Retrieval (Odd Sem 2017)

Course Code: INRX730E/INRX340E/ISEO
Class Room: 5055
Schedule: Monday 9AM to 11AM and Friday 9AM to 10AM
TAs: Shrikant Malviya, Rohit Mishra

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]
  4. SVD and LSI Tutorial (pdf)
  5. Bayesian Network [videos]
  6. Indexing by Latent Sematic Analysis [pdf]
Interesting Things:
  1. The Zipf Mystery (Video)