Volume 4 (2), December 2021, Pages 263-266

Suleyman Suleymanzade

Institute of Information Technology, Azerbaijan National Academy of Sciences, Baku, Azerbaijan, This email address is being protected from spambots. You need JavaScript enabled to view it.


This article presented a survey of two well-known algorithms, TF-IDF and BM-25 methods, for document ranking on a single CPU and parallel processes via HPC. An amazon review dataset with more than two million reviews was measured to measure the rank parameters. We set up the number of workers for the parallel processing during the experiment, which we selected as one and three. Four benchmarks evaluated the preprocess and reading time, vectorization time, TF-IDF transformation time, and overall time. Results metrics have shown a significant difference in speed.


TF-IDF, BM-25, Apache spark, Information retrieval, HPC.

DOI: https://doi.org/10.32010/26166127.2021.




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