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A Review of the Role of Sensors in Mobile Context-Aware Recommendation Systems., , , и . Int. J. Distributed Sens. Networks, (2015)Pull-based recommendations in mobile environments., и . Comput. Stand. Interfaces, (2016)An Experimental Evaluation of Content-based Recommendation Systems: Can Linked Data and BERT Help?, , , , и . AICCSA, стр. 1-8. IEEE, (2020)Push-Based Recommendations in Mobile Computing Using a Multi-Layer Contextual Approach., , , и . MoMM, стр. 149-158. ACM, (2015)DataGenCARS: A generator of synthetic data for the evaluation of context-aware recommendation systems., , , и . Pervasive Mob. Comput., (2017)JCLAL: A Java Framework for Active Learning., , , , и . J. Mach. Learn. Res., (2016)Location-Aware Recommendation Systems: Where We Are and Where We Recommend to Go., , , и . LocalRec@RecSys, том 1405 из CEUR Workshop Proceedings, стр. 1-8. CEUR-WS.org, (2015)Towards a Structured Representation of Results in an Information Retrieval System for Public Examination Calls., , , и . CERI, стр. 4:1-4:8. ACM, (2018)Towards a Context-Aware Mobile Recommendation Architecture., и . MobiWIS, том 8640 из Lecture Notes in Computer Science, стр. 56-70. Springer, (2014)MotorIA: Automatic E-Learning Course Generation System., , , , , и . ICCTA, стр. 92-96. ACM, (2020)