Overview

This course provides a comprehensive introduction to Information Retrieval (IR) Systems, which are at the core of search engines, digital libraries, recommendation platforms, and many AI applications. Students will explore the techniques and algorithms that allow machines to process, index, and retrieve relevant information from large collections of unstructured data.Key topics include document representation, indexing, Boolean and vector space models, ranking algorithms, web search, evaluation metrics, relevance feedback, query expansion, and the role of natural language processing (NLP) in retrieval systems.Through hands-on exercises, case studies, and mini-projects, students will gain both theoretical knowledge and practical experience in building and evaluating IR systems.Learning Outcomes:Understand the architecture and components of modern IR systemsApply indexing and retrieval models to textual dataEvaluate IR performance using standard metrics like precision, recall, and MAPExplore advanced topics such as web crawling, link analysis, and personalized searchGain exposure to tools and techniques used in real-world IR applicationsThis course provides a comprehensive introduction to Information Retrieval (IR) Systems, which are at the core of search engines, digital libraries, recommendation platforms, and many AI applications. Students will explore the techniques and algorithms that allow machines to process, index, and retrieve relevant information from large collections of unstructured data.Key topics include document representation, indexing, Boolean and vector space models, ranking algorithms, web search, evaluation metrics, relevance feedback, query expansion, and the role of natural language processing (NLP) in retrieval systems.Through hands-on exercises, case studies, and mini-projects, students will gain both theoretical knowledge and practical experience in building and evaluating IR systems.Learning Outcomes:Understand the architecture and components of modern IR systemsApply indexing and retrieval models to textual dataEvaluate IR performance using standard metrics like precision, recall, and MAPExplore advanced topics such as web crawling, link analysis, and personalized searchGain exposure to tools and techniques used in real-world IR applications

Skills

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