Fall 2021 - Winter 2022
A not-complete summary of the “Introduction to Information Retrieval” book, mainly in English, with some Persian in between.
Math equations are not shown correctly in Github. You can:
Check it on Notion (Recommended)
or
Clone and use markdown preview features of editors such as VScode.
Introduction to Information Retrieval
Chapter 2 - The term vocabulary and postings lists
Chapter 6 - Scoring, term weighting and the vector space model
Chapter 7 - Computing scores in a complete search system
Chapter 8 - Evaluation in information retrieval
Chapter 9 - Relevance feedback and query expansion
Chapter 11 - Probabilistic information retrieval
Chapter 12 - Language models for information retrieval
Chapter 13 - Text classification and Naive Bayes
Chapter 14 - Vector space classification
Chapter 15 - Support vector machines and machine learning on documents
Chapter 17 - Hierarchical clustering
Chapter 18 - Matrix decompositions and latent semantic indexing
Chapter 19 - Web search basics