Explore the fundamentals of information retrieval and the basics of web search technologies.
Understand the structure of text and preprocessing steps like tokenization and stemming.
Learn about classical retrieval models such as Boolean, Vector Space, and Probabilistic models.
Study evaluation metrics for measuring the effectiveness of information retrieval systems.
Explore query processing techniques and retrieval languages used in IR systems.
Delve into web search architectures, crawling, indexing, and link analysis.
Learn methods for assigning predefined categories to text documents.
Group similar documents together without predefined labels using clustering techniques.
Understand recommendation algorithms used for personalized content delivery.
Study systems that directly answer questions posed in natural language.
Explore enhanced models and deep learning approaches used in modern IR systems.