People Innovation Excellence

KNOWLEDGE AND INFORMATION RETRIEVAL (3 Credits)

Learning Outcomes:

On successful completion of this Course, students will be able to: Develop and Design  IR Models & Tokenizing, Indexing, and Implementation of Vector-Space Retrieval as a field of research; Define and Charaterizes with  the concept of information and the relationship between information and knowledge; The intellectual foundation for and theoretical perspective of the subject’s core areas; Create the Framework of information science’s platform.

Topics:

  1. Introduction;
  2. Basic Tokenizing, Indexing, and Implementation of Vector-Space Retrieval;
  3. Experimental Evaluation of IR;
  4. Query Operations and Languages;
  5. Text Representation;
  6. Web Search;
  7. Text Categorization;
  8. Language-Model Based Retrieval;
  9. Text Clustering;
  10. Collaborative filtering and content-based recommendation of documents and products;
  11. Information Extraction and Integration;
  12. Project/Paper Presentation.

Published at : Updated

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