DAFTAR PUSTAKA
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Adomavicius, G., Mobasher, B., Ricci, F., Tuzhilin, A., 2011, Context-Aware Recommender Systems. AI Magazine 32 (3), Halaman 67–80.
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Recommender systems handbook, Springer, Halaman 217–253.
Adomavicius, G., Tuzhilin, A., 2015, Context-Aware Recommender Systems, Recommender Systems Handbook, Springer, Halaman 191-226.
Ahmadia, H.B., Kusi-Sarponga, S., dan Rezaei, J., 2017, Assessing the social sustainability of supply chains using Best-Worst Method, Resources Conservation and Recycling, Volume 126, Halaman 99-106.
Asabere, N. Y., 2013, Towards a viewpoint of context-aware recommender systems (CARS) and services, International Journal of Computer Science and Telecommunications, Volume 4 (1), Halaman 10–29.
Badriyah, T., Restuningtyas, I., dan Setyorini, F., 2017, Sistem Rekomendasi Collaborative Filtering Berbasis Pengguna Algoritma Adjusted Cosine Similarity, Prosiding Seminar Nasional XII “Rekayasa Teknologi Industri dan Informasi.
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Gupta, H., 2017, Evaluating service quality of airline industry using hybrid Best- Worst method and VIKOR, Journal of Air Transport Management, Volume 68, Halaman 35-47.
Hartanto, S., Furqan, M., Siahaan, A.P.U., dan Fitriani, W., 2017, Haversine Method in Looking for the Nearest Masjid, International Journal of Recent Trends in Engineering & Research (IJRTER) Volume 03, Issue 08, Halaman 187-195.
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Lumauag, R.G., Sison, A.M., dan Medina, R.P., 2019, An Enhanced Memory- Based Collaborative Filtering Algorithm based on User Similarity for Recommender Systems, International Journal of Recent Technology and Engineering (IJRTE), ISSN: 2277-3878, Volume-7, Issue-6S.
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Razaq, J.A., dan Jananto, A., 2014, Sistem Informasi Publik Layanan Kesehatan menggunakan Metode Location Based Service di Kota Semarang, Jurnal Teknologi Informasi DINAMIK Volume 19, No.1, Halaman 59-67.
Ren, J., Liang, H., Chan, F.T.S., 2017, Urban sewage sludge, sustainability, and transition for Eco-City: Multi-criteria sustainability assessment of technologies based on best-worst method, Technological Forecasting and Social Change, Volume 116, Halaman 29-39.
Rezaei, J., 2015, Best-Worst multi-criteria decision-making method : Some properties and a linear model, Omega, Volume 64, Halaman 126-130.
Rezaei, J., Nispeling, T., Sarkis, J., Tavasszy, L., 2016, A supplier selection life cycle approach integrating traditional and environmental criteria using the best worst method, Journal of Cleaner Production, Volume 135, 1 November, Halaman 577-588.
Sassi, I.B., Mellouli, S., dan Yahia, S.B, 2017, Context-Aware Recommender Systems in Mobile Environment: On The Road of Future Research, Information Systems, Volume 72, Halaman 27-61.
Srilatha, N., Sravani, M., Divya, Y., 2017, Optimal Round Robin CPU Scheduling Algorithm using Manhattan Distance, International Journal of Electrical and Computer Engineering (IJECE), Vol. 7, No. 6, December 2017, Halaman 3664-3668.
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Villegas, N.M., Sanchez, C., Diaz-Cely, J., dan Tamura, G., 2017, Characterizing Context-Aware Recommender Systems: A Systematic Literature Review, Knowledge-Based Systems, Volume 140, Halaman 173-200.
Wardana, A.S., dan Timur, M.I.A., 2018, Collaborative Filtering Recommender System pada Virtual 3D Kelas Cendekia, Indonesian Journal of Electronics and Instrumentation Systems (IJEIS), Volume 8, No.1, Halaman 73-82.
Zheng, C., Haihong E, Song, M., dan Song, J., 2016, CMPTF: Contextual Modeling Probabilistic Tensor Factorization for recommender systems, Neurocomputing, Volume 205, Halaman 141-151.
