My reading notes for CS276: Information Retrieval and Web Search, Spring 2019 from Stanford University.

Mostly contains the summary of the chapters from Introduction to Information Retrieval, along with memos for certain lecture slides and other sources.

Note: To cope with mathematical notations, I've used Pandoc to convert all the Markdown notes into LaTeX pdfs. I think this is the easiest solution at the moment to view math formulas on GitHub. Please let me know if you think there's a better solution.

• IIR Chapter 01: Boolean Retrieval
• IIR Chapter 02: The term vocabulary and postings lists

• IIR Chapter 04: Index construction
• IIR Chapter 05: Index compression

• IIR Chapter 03: Dictionaries and tolerant retrieval
• More on noisy channel
• IIR Chapter 06: Scoring, term weighting, and the vector space model

• IIR Chapter 11: Probabilistic information retrieval

• IIR Chapter 8: Evaluation in information retrieval
• IIR Chapter 7: Computing scores in a complete search system

• IIR Chapter 13: Text classification and Naive Bayes
• IIR Chapter 14: Vector space classification
• IIR Chapter 15: Support vector machines and machine learning on documents (WIP)

• Notes from Lecture 14: Distributed word representations for information retrieval

• Notes from Lecture 19: Question answering