Materials
Lecture slides are available per session in the Lectures section. There is no single comprehensive handout.
📖 Recommended Books & References
| Ref. | Book Title / Authors | Download / Link |
|---|---|---|
| [MRS] | Christopher D. Manning, Prabhakar Raghavan, Hinrich Schütze – Introduction to Information Retrieval (Cambridge, 2008) | |
| [HNG] | Hang Li – Learning to Rank for Information Retrieval and Natural Language Processing (Morgan & Claypool, 2011) | |
| [MC] | Bhaskar Mitra, Nick Craswell – An Introduction to Neural Information Retrieval (Foundations and Trends in IR, 2018) | 🔗 Access Link |
🌐 Similar Courses
- CS276 / LING286: Information Retrieval and Web Search – Stanford University
- CS54701: Information Retrieval – Purdue University
- Advanced NLP Fall 2024 (Retrieval and RAG) – CMU (YouTube)
- Information Retrieval – ETH Zurich
- Information Retrieval – University of Cambridge
🛠 Additional Course Materials
- NLTK – Python library for text processing
- Scikit-learn – Text feature extraction (TF‑IDF)
- Elasticsearch – Open‑source search engine
- Whoosh – Pure‑Python search library
- RankLib – Learning to rank library
More resources will be added during the semester.