Hybrid IR

What is Hybrid IR?

Hybrid Information Retrieval (IR) refers to the combination of different approaches to IR, typically combining the best features of both statistical and traditional approaches to retrieve information from large collections of unstructured data, such as text documents.

Hybrid IR models use a combination of machine learning techniques and rule-based approaches to retrieve relevant information. This can include techniques such as vector space models, probabilistic models, and deep learning algorithms. The goal of hybrid IR is to improve the accuracy and effectiveness of the retrieval process by combining the strengths of different methods. Hybrid models are often used in search engines and recommendation systems, where the retrieval of relevant information is crucial for user satisfaction.