Comprehensive Assessment of Big Data in Recommendation Systems
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-5845-8_11
Reference39 articles.
1. Al-Rifai SS, Shaban AM, Shihab MSM, Mustafa AS, Al-Halboosi HA, Shantaf AM (2020) Paper review on data mining, components, and big data. In: 2020 international congress on human-computer interaction, optimization and robotic applications (HORA), pp 1–4
2. Muangprathub J, Boonjing V, Chamnongthai K (2020) Learning recommendation with formal concept analysis for intelligent tutoring system. Heliyon 6(10):e05227
3. Alam I, Khusro S, Khan M (2021) Personalized content recommendations on smart tv: challenges, opportunities, and future research directions. Entertain Comput 38:100418
4. Churyumov G, Tokarev V, Tkachov V, Partyka S (2018) Scenario of interaction of the mobile technical objects in the process of transmission of data streams in conditions of impacting the powerful electromagnetic field. In: 2018 IEEE second international conference on data stream mining processing (DSMP), pp 183–186
5. José EF, Enembreck F, Barddal JP (2020) Adadrift: an adaptive learning technique for long-history stream-based recommender systems. In: 2020 IEEE international conference on systems, man, and cybernetics (SMC), pp 2593–2600
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