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.