The vast data sources use Information Retrieval (IR) methods for accessing
the required information. The classical methods of IR, like Boolean retrieval and vector
space, are fundamental for search strategies. The integration of these techniques with
artificial intelligence will improve the accuracy of information retrieval. The research
work compares the working of both the classical and modern information retrieval
techniques. The comparison provides the merits and demerits of both methods so that
information retrieval can be made more intelligent. The classical methods include
Boolean retrieval and Term Frequency - Inverse Document Frequency (TF-IDF), while
the modern method is Bidirectional Encoder Representations from Transformers
(BERT). The authors have used the MS MARCO dataset for training and testing
purposes. The authors have calculated precision, recall, and F1 score to evaluate the
research work. From the simulation of work, it has been noticed that modern
information retrieval methods can reduce the computational cost and enhance the
accuracy of retrieval.
Keywords: BERT, Information Retrieval (IR), Modern IR techniques, Traditional IR techniques.
