Recommender Systems for Personalized Business Marketing: Employing Artificial Intelligence and Business Intelligence in Machine Learning Techniques
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-7216-6_27
Reference25 articles.
1. Tamang MD, Shukla KV, Anwar S, Punhani R (2021) Improving business intelligence through machine learning algorithms. In: 2021 2nd international conference on intelligent engineering and management (ICIEM), London, United Kingdom, 2021, pp 63–68. https://doi.org/10.1109/ICIEM51511.2021.9445344
2. Tcukanova OA, Yarskaya AA and Torosyan AA (2022) Artificial intelligence as a new stage in the development of business intelligence systems. In: 2022 international conference on quality management, transport and information security, information technologies (IT&QM&IS), Saint Petersburg, Russian Federation, 2022, pp 315–318. https://doi.org/10.1109/ITQMIS56172.2022.9976832
3. Razmochaeva NV, Klionskiy DM, Chernokulsky VV (2018) The investigation of machine learning methods in the problem of automation of the sales management business-process. In: IEEE International conference “quality management, transport and information security, information technologies” (IT&QM&IS), St. Petersburg, Russia, pp 376–381. https://doi.org/10.1109/ITMQIS.2018.8525008
4. Atul Khedkar S, Shinde SK (2018) Customer review analytics for business intelligence. In: 2018 IEEE international conference on computational intelligence and computing research (ICCIC), Madurai, India, 2018, pp 1–5. https://doi.org/10.1109/ICCIC.2018.8782305
5. Ruhela S (2019) Thematic correlation of human cognition and artificial intelligence. In: 2019 Amity international conference on artificial intelligence (AICAI), Dubai, United Arab Emirates, 2019, pp 367–370. https://doi.org/10.1109/AICAI.2019.8701337
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