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Towards a Context-Aware Mobile Recommendation Architecture.

, and . MobiWIS, volume 8640 of Lecture Notes in Computer Science, page 56-70. Springer, (2014)

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Pull-based recommendations in mobile environments., and . Computer Standards & Interfaces, (2016)A Review of the Role of Sensors in Mobile Context-Aware Recommendation Systems., , , and . IJDSN, (2015)Push-Based Recommendations in Mobile Computing Using a Multi-Layer Contextual Approach., , , and . MoMM, page 149-158. ACM, (2015)Towards a Context-Aware Mobile Recommendation Architecture., and . MobiWIS, volume 8640 of Lecture Notes in Computer Science, page 56-70. Springer, (2014)Towards a Structured Representation of Results in an Information Retrieval System for Public Examination Calls., , , and . CERI, page 4:1-4:8. ACM, (2018)JCLAL: A Java Framework for Active Learning., , , , and . J. Mach. Learn. Res., (2016)DataGenCARS: A generator of synthetic data for the evaluation of context-aware recommendation systems., , , and . Pervasive and Mobile Computing, (2017)Location-Aware Recommendation Systems: Where We Are and Where We Recommend to Go., , , and . LocalRec@RecSys, volume 1405 of CEUR Workshop Proceedings, page 1-8. CEUR-WS.org, (2015)Context-Aware Recommendations Using Mobile P2P., , , and . MoMM, page 82-91. ACM, (2017)Towards Trajectory-Based Recommendations in Museums: Evaluation of Strategies Using Mixed Synthetic and Real Data., , , and . EUSPN/ICTH, volume 113 of Procedia Computer Science, page 234-239. Elsevier, (2017)