FUNCTIONS OF RECOMMENDER SYSTEMS
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Аннотация:
On the Internet, where the number of choices is overwhelming, there is need to filter, prioritize and efficiently deliver relevant information in order to alleviate the problem of information overload, which has created a potential problem to many Internet users. Recommender systems solve this problem by searching through large volume of dynamically generated information to provide users with personalized content and services. This paper explores the different function of recommendation systems in order to serve as a compass for research and practice in the field of recommendation systems.
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Библиографические ссылки:
J. Bobadilla, F. Ortega, A. Hernando, A. Gutiérrez, Recommender systems survey, Knowledge-Based Systems, 46 (2013) 109-132.
L. Quijano-Sanchez, J.A. Recio-Garcia, B. Diaz-Agudo, G. Jimenez-Diaz, Social factors in group recommender systems, ACM Transactions on Intelligent Systems and Technology (TIST), 4 (2013) 1-30.
Bortko, K.; Bartków, P.; Jankowski, J.; Kuras, D.; Sulikowski, P. Multi-criteria Evaluation of Recommending Interfaces towards Habituation Reduction and Limited Negative Impact on User Experience. Procedia Comput. Sci. 2019, 159, 2240–2248.