ARCHIVES

1. Attarde, D. V., & Prof. Manmohan, S. (2017, December). Survey on Recommendation System using Data Mining and Clustering Techniques.
International Journal for Research in Engineering Application & Management.
2. Beniamin, B. (2017). The Evolution of E-Recruitment: The Introduction of Online Recruiter. In Management and Organization: Concepts,
Tools and Applications.
3. Khushee Singh, B. S. (2017). A Review on Current Trends and Techniques Used in Recommendation Systems. International Journal of
Current Trends in Engineering & Research (IJCTER), 116-119.
4. Guruge, Deepani B., Rajan Kadel, and Sharly J. Halder. 2021. "The State of the Art in Methodologies of Course Recommender Systems—
A Review of Recent Research" Data 6, no. 2: 18.
5. Kumar, A.; Sharma, A. Alleviating sparsity and scalability issues in collaborative filtering based recommender systems. In Proceedings of
the International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA); Springer: Berlin/Heidelberg,
Germany, 2013; pp. 103–112.
6. Singh, P.; Ahuja, S.; Jaitly, V.; Jain, S. A framework to alleviate common problems from recommender system: A case study for technical
course recommendation. J. Discret. Math. Sci. Cryptogr. 2020, 23, 451–460.
7. Adomavicius, G.; Tuzhilin, A. Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions.
IEEE Trans. Knowl. Data Eng. 2005, 17, 734–749.
8. Farzan, R.; Brusilovsky, P. Encouraging user participation in a course recommender system: An impact on user behavior. Comput. Hum.
Behav. 2011, 27, 276–284. Pazzani, M.J.; Billsus, D. Content-based recommendation systems. In The Adaptive Web; Springer:
Berlin/Heidelberg, Germany, 2007; pp. 325–341. [Google Scholar]9. Parameswaran, A.G.; Garcia-Molina, H.; Ullman, J.D. Evaluating, combining and generalizing recommendations with prerequisites. In
Proceedings of the 19th ACM International Conference on Information and Knowledge Management, Toronto, ON, Canada, 3 June 2010;
pp. 919–928.
10. Pang, Y.; Wang, N.; Zhang, Y.; Jin, Y.; Ji, W.; Tan, W. Prerequisite-related MOOC recommendation on learning path locating. Comput.
Soc. Netw. 2019, 6, 1–16.
11. Rajkumar, R.; Ganapathy, V. Bio-Inspiring Learning Style Chatbot Inventory Using Brain Computing Interface to Increase the Efficiency
of E-Learning. IEEE Access 2020, 8, 67377–67395
12. Neamah, A.A.; El-Ameer, A.S. Design and Evaluation of a Course Recommender System Using Content-Based Approach. In Proceedings
of the 2018 International Conference on Advanced Science and Engineering (ICOASE), Duhok, Iraq, 9–11 October 2018; pp. 1–6.