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Table of contents
Information Retrieval for Communication and Computing
A principled undergraduate path from search fundamentals to modern retrieval systems
Read each section in order. Every title can be opened as a TheoryTrace document.
- Cover1
- Copyright2
- How to read this book3
- Introduction4
- Chapter 1: What Information Retrieval Solves5
- Chapter 2: Documents, Queries, and Relevance6
- Chapter 3: Text Processing and Representation7
- Chapter 4: Indexing and the Inverted Index8
- Chapter 5: Boolean Retrieval and Exact Matching9
- Chapter 6: Ranked Retrieval and the Vector Space Model10
- Chapter 7: Probabilistic Retrieval and BM2511
- Chapter 8: Evaluation of Retrieval Systems12
- Chapter 9: User Behavior, Interaction, and Search Interfaces13
- Chapter 10: Query Expansion and Relevance Feedback14
- Chapter 11: Web Search and Link Analysis15
- Chapter 12: Retrieval in Communication Systems16
- Chapter 13: Multimedia and Cross-Modal Retrieval17
- Chapter 14: Machine Learning for Ranking18
- Chapter 15: Neural Retrieval and Semantic Search19
- Chapter 16: Retrieval-Augmented Generation20
- Chapter 17: Scalable Retrieval Architecture21
- Chapter 18: Privacy, Security, Fairness, and Ethics22
- Chapter 19: Building and Testing a Retrieval System23
- Chapter 20: Research Frontiers and Professional Practice24
- Conclusion25