STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Advancements in Library Sciences Review Article

Academia to Industry: The Impact of AI on Information Retrieval Technologies

  1. Jogen Sharma Management Development Institute (MDI) Murshidabad Raghunathganj, Murshidabad, West Bengal, India
  2. Dayawanti Tarmali Management Development Institute (MDI) Murshidabad Raghunathganj, Murshidabad, West Bengal, India

Abstract

Artificial intelligence (AI) has significantly reshaped the field of information retrieval (IR), bridging theoretical advancements from academia with practical applications across various industries. This article explores the transformative impact of AI on IR technologies, highlighting key contributions from academic research and how they have been adapted for industry-scale implementations. Academic innovations, such as neural ranking models and semantic search techniques, have improved the accuracy and relevance of search results by enabling systems to understand the context and intent behind user queries. These advancements are now widely used in sectors like healthcare, where AI-powered IR systems extract valuable insights from electronic health records, and in e-commerce, where personalized recommendations drive user engagement. The article also examines the interplay between academic theory and industry application, with AI models initially developed in academic settings being optimized for large-scale industrial use. However, the deployment of AI in IR systems comes with ethical challenges, particularly regarding data privacy and algorithmic bias. Addressing these concerns requires continued collaboration between academia and industry, particularly in developing fairness-aware AI models and ensuring regulatory compliance. Looking forward, the article outlines future trends in AI-driven IR, including retrieval-augmented generation (RAG) and hyper-personalization, which promise to further enhance the capabilities of search systems. The partnership between academic researchers and industry practitioners remains crucial in driving innovation and shaping the ethical implementation of AI in information retrieval.

Keywords

References (22)

  1. Belkin NJ. Salton Award Lecture. Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval. 2015:1-2. doi:10.1145/2766462.2767854
  2. Croft WB. NSF Center for Intelligent Information Retrieval. Communications of the ACM. 1995;38(4):42-43. doi:10.1145/205323.205328
  3. Devins J, Tibshirani J, Lin J. Aligning the Research and Practice of Building Search Applications. Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining. 2022:1573-1576. doi:10.1145/3488560.3502186
  4. Hawking D. If SIGIR had an Academic Track, What Would Be In It? Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval. 2015:1077-1077. doi:10.1145/2766462.2776784
  5. Horrocks G. The Impact of Artificial Intelligence. eLucidate. 2019;16(1). doi:10.29173/elucidate708
  6. Lei J, Bu Y, Liu J. Information Retrieval Research in Academia and Industry: A Preliminary Analysis of Productivity, Authorship, Impact, and Topic Distribution. Lecture Notes in Computer Science. 2023:360-370. doi:10.1007/978-3-031-28032-0_29
  7. Lei J, Bu Y, Liu J. Information Retrieval Research in Academia and Industry: A Preliminary Analysis of Productivity, Authorship, Impact, and Topic Distribution. Lecture Notes in Computer Science. 2023:360-370. doi:10.1007/978-3-031-28032-0_29
  8. Mika P, Baeza-Yates R. The Impact of the Web on Information Retrieval. Linking the World’s Information. 2023:105-114. doi:10.1145/3591366.3591377
  9. Mitra B, Craswell N. An Introduction to Neural Information Retrieval. Foundations and Trends® in Information Retrieval. 2018;13(1):1-126. doi:10.1561/1500000061
  10. JYOTISMAN MOHARANA, ADITI BAWANGADE, YOGESHWARI SAMARTH, TRUPTI GHATE, PAYAL GOMASE. Revolutionizing Search: Artificial Intelligence and Machine Learning's Impact on Information Retrieval. International Journal For Multidisciplinary Research. 2023;5(5). doi:10.36948/ijfmr.2023.v05i05.8106
  11. Russell DM. Industry-Academic Relationships. Computer. 2009;42(3):67-68. doi:10.1109/mc.2009.86
  12. Sarkar, D. (2024). Navigating the Knowledge Sea: Planet-scale answer retrieval using LLMs. arXiv (Cornell University). https://doi.org/10.48550/arxiv.2402.05318
  13. Shukla L, Singh JN, Johri P, Kumar A. Artificial Intelligence in Information Retrieval. 2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N). 2022:1-5. doi:10.1109/icac3n56670.2022.10074291
  14. V V, N.C A, Sinha P, Dewanjee J, Sulc J, Kar S. Information Retrieval for Aviation Applications. SAE International Journal of Advances and Current Practices in Mobility. 2022;04(4):1027-1034. doi:10.4271/2022-01-0044
  15. Sharma, J. (2022a). Innovation Technologies in the Library: New Opportunities to the Librarian and the Library. In Library and Beyond the COVID 19 Pandemic (pp. 33–44). Kuntal Books (Publisher & Distributors).
  16. Sharma, J. (2022c). The Development of Digital Services in Libraries: Challenges and Possibilities [Eng.]. In Integrating ICT in Library Management (pp. 41–56). Ess Ess Publications, India. https://www.essessreference.com/servlet/esGetBiblio?bno=779
  17. Sharma, J., & Tarmali, D. (2023a). Knowledge Society and Information Technologies in the 21st Century. MDIM Journal of Management Review and Practice, 01–08. https://doi.org/10.1177/mbr.221145274
  18. Sharma J, Tarmali D. Operational Plan for All Academic and Institutional Libraries. International Journal of Emerging Research in Engineering, Science, and Management. 2023;2(1). doi:10.58482/ijeresm.v2i1.4
  19. Sharma, J., & Tarmali, T. (2022). Various important actions Indian libraries are taking during lockdown due to COVID-19. International Journal of Innovative Research in Technology, 8(11), 454–459. https://ijirt.org/master/publishedpaper/IJIRT154431_PAPER.pdf
  20. V V, N.C A, Sinha P, Dewanjee J, Sulc J, Kar S. Information Retrieval for Aviation Applications. SAE International Journal of Advances and Current Practices in Mobility. 2022;04(4):1027-1034. doi:10.4271/2022-01-0044
  21. Yang, P., Fang, H., & Lin, J. (2017). https://doi.org/10.1145/3077136.3080721
  22. Mitra B, Craswell N. An Introduction to Neural Information Retrieval. Foundations and Trends® in Information Retrieval. 2018;13(1):1-126. doi:10.1561/1500000061
Support