Information Retrieval (IR)
News and Updates:
- Course will start in the third week of August 2021.
Topics (Tentative):
Introduction, DB vs IR, Tokenization, Indexing, Representing terms and documents, Scoring models, Query-independent ranking, Learning to Rank, Evaluation in IR, Advanced Topics from Research Papers
Pre-requisites:
Understanding of Probability, satistics, basic machine learning concepts
Grading Scheme (Tentative):
Quiz: 20%, End Term: 30-40%, Project: 40-50%
Reference Material:
- [Book] "Introduction to Information Retrieval" by Manning, Raghavan and Schütze. Available for download here.
- [Book] "Search Engines: Information Retrieval in Practice" by Donald Metzler, Trevor Strohman, and W. Bruce Croft. Available for download here
- [Research Papers]: To be mentioned during the class
Lecture Schedule
| Date/Week | Topic | Comments |
| Week 1-2 |
- Introduction to IR, tokenization, text normalization, indexing
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| Week 3-4 |
- Vector space model and considerations
- Hands on session on vectorization
- Project announcement
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| Week 5-6 |
- Cosine similarity, pivoted document length normalization
- Language modeling
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| Week 7-8 |
- Evaluation in IR
- Introduction to word representations
- Hands on session on word representations
- Mid-term project presentations
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| Week 9-10 |
- Probabilistic IR
- Latent Semantic Analysis, Learning to Rank
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| Week 11-12 |
- Query agnostic scoring: Pagerank, HITS
- Introduction to Neural IR
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| Week 13-15 |
- Search Result Diversification
- Invited Talk
- Final Project Presentations
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