Boolean Search: Harnessing AND, OR, and NOT Gates with Inverted Indexes

Boolean Search: Harnessing AND, OR, and NOT Gates with Inverted Indexes

Boolean Search: Harnessing AND, OR, and NOT Gates with Inverted Indexes – PyImageSearch

“In this tutorial, you will learn the fundamentals of Information Retrieval (IR). We will start with the importance and applications of IR and then discuss fundamental concepts like documents, queries, indexing, ranking, and types of IR models (Boolean, vector space, probabilistic, etc.). We will implement our first IR model based on Term Incidence-based Boolean Retrieval. Lastly, we will end the lesson by understanding various metrics (Precision, Recall, F1 Score, mean Average Precision (mAP), Normalized Discounted Cumulative Gain (NDCG), etc.) used to evaluate IR models…”

Source: pyimagesearch.com/2024/07/08/boolean-search-harnessing-and-or-and-not-gates-with-inverted-indexes/