Metrics and Measurement Frameworks for E-Commerce Search Systems

Authors

  • Prathyusha Bhaskar Karnam

Keywords:

E-Commerce Search Systems, Information Retrieval Metrics, Ranking Evaluation, Business Impact Measurement, Search Quality Optimization

Abstract

The ability to search is a fundamental part of e-commerce technologies today as shoppers browse throughbillions of available products. An effective search tool will accurately decipher what the user wants tofind, retrieve the relevant products quickly, and rank the results in an order that makes it easier for consumers to make a purchase

References

Nandan Thakur, et al., "BEIR: A Heterogeneous Benchmark for Zero-shot Evaluation of Information Retrieval Models," arXiv, 2021. Available: https://arxiv.org/abs/2104.08663

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Published

2025-12-16

How to Cite

Prathyusha Bhaskar Karnam. (2025). Metrics and Measurement Frameworks for E-Commerce Search Systems. Journal of Computational Analysis and Applications (JoCAAA), 34(12), 438–448. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/4414

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Section

Articles