Recommendation Systems

Major: Systems and Methods of Decision Making
Code of subject: 7.124.01.O.008
Credits: 5.00
Department: Information Systems and Networks
Lecturer: Doctor of Sciences., Professor Lytvyn Vasyl? Volodymyrovych
Semester: 2 семестр
Mode of study: денна
Learning outcomes: As a result of studying the discipline, the student must be able to demonstrate the following learning outcomes: Specialized conceptual knowledge, which includes modern scientific achievements in the field of systems analysis and information technology and is the basis for original thinking and research. To develop intelligent systems in the conditions of poorly structured data of different nature. Know the basic models of recommendation systems and algorithms for their operation, classes of recommendation systems.
Required prior and related subjects: Technologies to support decision-making processes Distributed information systems
Summary of the subject: Study of the main classes of recommendation systems, recommendation models and algorithms, methods of evaluation and explanation of recommendations, mastering modern methods of design and development of specialized recommendation systems.
Assessment methods and criteria: • Current control (40%): written reports on laboratory work, oral examination; • Final control (60%). in written – 50%, verbally- 10%.
Порядок та критерії виставляння балів та оцінок: 100-88 points - certified with an “excellent” grade - High level: the student demonstrates an in-depth mastery of the conceptual and categorical apparatus of the discipline, systematic knowledge, skills and abilities of their practical application. The mastered knowledge, skills and abilities provide the ability to independently formulate goals and organize learning activities, search and find solutions in non-standard, atypical educational and professional situations. The applicant demonstrates the ability to make generalizations based on critical analysis of factual material, ideas, theories and concepts, to formulate conclusions based on them. His/her activity is based on interest and motivation for self-development, continuous professional development, independent research activities, implemented with the support and guidance of the teacher. 87-71 points - certified with a grade of “good” - Sufficient level: involves mastery of the conceptual and categorical apparatus of the discipline at an advanced level, conscious use of knowledge, skills and abilities to reveal the essence of the issue. Possession of a partially structured set of knowledge provides the ability to apply it in familiar educational and professional situations. Aware of the specifics of tasks and learning situations, the student demonstrates the ability to search for and choose their solution according to the given sample, to argue for the use of a particular method of solving the problem. Their activities are based on interest and motivation for self-development and continuous professional development. 70-50 points - certified with a grade of “satisfactory” - Satisfactory level: outlines the mastery of the conceptual and categorical apparatus of the discipline at the average level, partial awareness of educational and professional tasks, problems and situations, knowledge of ways to solve typical problems and tasks. The applicant demonstrates an average level of skills and abilities to apply knowledge in practice, and solving problems requires assistance, support from a model. The basis of learning activities is situational and heuristic, dominated by motives of duty, unconscious use of opportunities for self-development. 49-00 points - certified with a grade of “unsatisfactory” - Unsatisfactory level: indicates an elementary mastery of the conceptual and categorical apparatus of the discipline, a general understanding of the content of the educational material, partial use of knowledge, skills and abilities. The basis of learning activities is situational and pragmatic interest.
Recommended books: 1. C.C. Aggarwal: Recommender Systems: The Textbook – Springer, 2016. 2. D. Jannach, M. Zanker, A. Felfernig, G. Friedrich: Recommender Systems: An Introduction – Cambridge University Press, 2011. 3. F. Ricci, L. Rokach, B. Shapira (eds.): Recommender Systems Handbook, 2nd ed. – Springer, 2015. 4. K. Falk: Practical Recommender Systems – Manning Publications Co., 2019.

Recommendation Systems (курсова робота)

Major: Systems and Methods of Decision Making
Code of subject: 7.124.01.O.009
Credits: 2.00
Department: Information Systems and Networks
Lecturer: Doctor of Sciences., Professor Lytvyn Vasyl? Volodymyrovych
Semester: 2 семестр
Mode of study: денна
Learning outcomes: As a result of studying the discipline, the student must be able to demonstrate the following learning outcomes: Specialized conceptual knowledge, which includes modern scientific achievements in the field of systems analysis and information technology and is the basis for original thinking and research. To develop intelligent systems in the conditions of poorly structured data of different nature. Know the basic models of recommendation systems and algorithms for their operation, classes of recommendation systems.
Required prior and related subjects: Technologies to support decision-making processes Distributed information systems
Summary of the subject: Study of the main classes of recommendation systems, recommendation models and algorithms, methods of evaluation and explanation of recommendations, mastering modern methods of design and development of specialized recommendation systems.
Assessment methods and criteria: • Current control (40%): written reports on laboratory work, oral examination; • Final control (60%). in written – 50%, verbally- 10%.
Порядок та критерії виставляння балів та оцінок: 100-88 points - certified with an “excellent” grade - High level: the student demonstrates an in-depth mastery of the conceptual and categorical apparatus of the discipline, systematic knowledge, skills and abilities of their practical application. The mastered knowledge, skills and abilities provide the ability to independently formulate goals and organize learning activities, search and find solutions in non-standard, atypical educational and professional situations. The applicant demonstrates the ability to make generalizations based on critical analysis of factual material, ideas, theories and concepts, to formulate conclusions based on them. His/her activity is based on interest and motivation for self-development, continuous professional development, independent research activities, implemented with the support and guidance of the teacher. 87-71 points - certified with a grade of “good” - Sufficient level: involves mastery of the conceptual and categorical apparatus of the discipline at an advanced level, conscious use of knowledge, skills and abilities to reveal the essence of the issue. Possession of a partially structured set of knowledge provides the ability to apply it in familiar educational and professional situations. Aware of the specifics of tasks and learning situations, the student demonstrates the ability to search for and choose their solution according to the given sample, to argue for the use of a particular method of solving the problem. Their activities are based on interest and motivation for self-development and continuous professional development. 70-50 points - certified with a grade of “satisfactory” - Satisfactory level: outlines the mastery of the conceptual and categorical apparatus of the discipline at the average level, partial awareness of educational and professional tasks, problems and situations, knowledge of ways to solve typical problems and tasks. The applicant demonstrates an average level of skills and abilities to apply knowledge in practice, and solving problems requires assistance, support from a model. The basis of learning activities is situational and heuristic, dominated by motives of duty, unconscious use of opportunities for self-development. 49-00 points - certified with a grade of “unsatisfactory” - Unsatisfactory level: indicates an elementary mastery of the conceptual and categorical apparatus of the discipline, a general understanding of the content of the educational material, partial use of knowledge, skills and abilities. The basis of learning activities is situational and pragmatic interest.
Recommended books: 1. C.C. Aggarwal: Recommender Systems: The Textbook – Springer, 2016. 2. D. Jannach, M. Zanker, A. Felfernig, G. Friedrich: Recommender Systems: An Introduction – Cambridge University Press, 2011. 3. F. Ricci, L. Rokach, B. Shapira (eds.): Recommender Systems Handbook, 2nd ed. – Springer, 2015. 4. K. Falk: Practical Recommender Systems – Manning Publications Co., 2019.