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[3] T. Badriyah, R. Fernando and I. Syarif, "Sistem Rekomendasi Content Based Filtering Menggunakan Algoritma Apriori," in Konferensi Nasional Sistem Informasi , Pangkalpinang, 2018.
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[13] C. Yuan and M. Uehara, "Improvement of Multi-purpose Travel Route Recommendation System Based on Genetic Algorithm," in International Symposium on Computing and Networking Workshops (CANDARW), Kawagoe, Japan, 2019.
[14] J. Zhang, Y. Wang, Z. Yuan, and Q. Jin, "Personalized Real-Time Movie Recommendation System: Practical Prototype and Evaluation," Tsinghua Science and Technology, Vol. 25, No 2, pp. 180-191, 2020.
[15] Z. Cui, X. Xu, F. Xue, X. Cai, Y. Cao, W. Zhang, and J. Chen, "Personalized Recommendation System Based on Collaborative Filtering for IoT Scenario," IEEE Transaction on Services Computing, Vols. 13, No 4, no. 685, pp. 685-695, 2020.
[16] A. Arief, "Rancang Bangun Sistem Rekomendasi Pariwisata Mobile Advertising Menggunakan Metode Hybrid Filtering Sebagai Pemberdayaan Masyarakat Usaha Kecil Menengah (UKM) di Pulau Ternate," PROtek, vol. 3, no. 1, pp. 20-25, 2016.
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[19] R. Naughton and X. Lin, "Recommender Systems: Investigating the Impact of Recommendations on User Choices and Behaviors," CEUR-WS.org, Philadelphia, USA, 2010.
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[21] S. V, L. R, V. V, K. K, R. K, and S. B, "DYNAMO: Dynamic MultimodalRoute and Travel Recommendation System," in International Conference on Recent Trends in Advanced Computing (ICRTAC-CPS 2018), Chennai, India, 2018.
[22] A. Sofyan, E. Ferdianto, R. Rahmawati and R. K. Aldi, "Pengaruh Search Engine Optimization (SEO) dan Riset Kata Kunci Terhadap Pendapat Toko Online," in Indo nusa Conference on Technology and Socia l Science , Surakarta, 2019.
[23] N. Nassar, A. Jafar and Y. Rahhal, "A Novel Deep Multi-Criteria Collaborative Filtering Model For Recommendation System," ELSEVIER, pp. 1-7, 25 June 2019.
[24] X. Zhao and K. Ji, "Tourism E-Commerce Recommender System Based on Web Data Mining," in International Conference on Web Data Mining, Colombo, Sri Lanka, 2013.
[2] C. S. D. Prasetya, "Sistem Rekomendasi Pada E-commerce Meenggunakan K-Nearest Neighbor," Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK), vol. 4, no. 3, pp. 194-200, 2017.
[3] T. Badriyah, R. Fernando and I. Syarif, "Sistem Rekomendasi Content Based Filtering Menggunakan Algoritma Apriori," in Konferensi Nasional Sistem Informasi , Pangkalpinang, 2018.
[4] B. T. Wahyo U and W. A. Angga, "Sistem Rekomendasi Paket Wisata Se-Malang Raya Menggunakan Metode Hybrid Content Based dan Collaborative," Jurnal Ilmiah Teknologi dan Informasi ASIA, vol. Vol.9 No.1, no. STMIK ASIA Malang , p. 6, 2015.
[5] J. d. C. L. Soares and A. J. Santoso, "M-Guide: Hybrid Recommender System Tourist in East-Timor," in International Conference on Soft Computing, Intelligent System and Information Technology, Yogyakarta, 2017.
[6] H. Li and D. Han, "A Novel Time-Aware Hybrid Recommendation Scheme Combining User Feedback and Collaborative Filtering," in IEEE System Journal, Shanghai, China, 2020.
[7] X. Xu and Y. Zhang, "Collaborative Filtering Recommendation Algorithm Based on Hybrid Similarity," in International Conference on Computer Systems, Electronics, and Control (ICCSEC), Hangzhou, China, 2017.
[8] S. Kokate, A. Gaikwad, P. Patil, M. Gutte and K. Shinde, "Traveler’s Recommendation System Using Data Mining Techniques," in Fourth International Conference on Computing Communication Control and Automation (ICCUBEA), Pune, India, 2018.
[9] A. B. A. Priyono, "Performa Apriori dan Collaborative Filtering untuk Sistem Rekomendasi," Jurnal Ilmiah Informatika dan Komputer, vol. 21, no. 1, pp. 51-59, 2016.
[10] Y. Setiawan, A. Nurwanto and A. Erlansari, "Implementasi Item Based Collaborative Filterin Dalam Pemberian Rekomendasi Agenda Wisata Berbasis Android," Pseudocode, vol. VI Nomor 1, pp. 13-19, 2019.
[11] Z. Jia, W. Gao, Y. Yang, and X. Chen, "User-based Collaborative Filtering for Tourist Attraction Recommendation," in IEEE International Conference on Computational Intelligence & Communication Technology, Lijiang, China, 2015.
[12] L. Ambarwati and Z. Baizal, "Group Recommenders System Using Hybrid Filtering for Tourism Domain," Indonesia Journal on Computing, vol. 4, no. 2, pp. 21-30, 2019.
[13] C. Yuan and M. Uehara, "Improvement of Multi-purpose Travel Route Recommendation System Based on Genetic Algorithm," in International Symposium on Computing and Networking Workshops (CANDARW), Kawagoe, Japan, 2019.
[14] J. Zhang, Y. Wang, Z. Yuan, and Q. Jin, "Personalized Real-Time Movie Recommendation System: Practical Prototype and Evaluation," Tsinghua Science and Technology, Vol. 25, No 2, pp. 180-191, 2020.
[15] Z. Cui, X. Xu, F. Xue, X. Cai, Y. Cao, W. Zhang, and J. Chen, "Personalized Recommendation System Based on Collaborative Filtering for IoT Scenario," IEEE Transaction on Services Computing, Vols. 13, No 4, no. 685, pp. 685-695, 2020.
[16] A. Arief, "Rancang Bangun Sistem Rekomendasi Pariwisata Mobile Advertising Menggunakan Metode Hybrid Filtering Sebagai Pemberdayaan Masyarakat Usaha Kecil Menengah (UKM) di Pulau Ternate," PROtek, vol. 3, no. 1, pp. 20-25, 2016.
[17] M. L. Bai, R. Pamula and P. K. Jain, "Tourist Recommender System using Hybrid Filtering," in International Conferenceon Information Systems and Computer Networks (ISCON), Dhanbad, India, 2019.
[18] M. E. B. H. Kbaier, H. Masri and S. Krichen, "A personalized hybrid tourism recommender system," in International Conference on Computer Systems and Applications, Tunis, 2017.
[19] R. Naughton and X. Lin, "Recommender Systems: Investigating the Impact of Recommendations on User Choices and Behaviors," CEUR-WS.org, Philadelphia, USA, 2010.
[20] J. Coelho, P. Nitu and P. Madiraju, "A Personalized Travel Recommendation System Using Social Media Analysis," in IEEE International Congress on Big Data, Milwaukee, WI, USA, 2018.
[21] S. V, L. R, V. V, K. K, R. K, and S. B, "DYNAMO: Dynamic MultimodalRoute and Travel Recommendation System," in International Conference on Recent Trends in Advanced Computing (ICRTAC-CPS 2018), Chennai, India, 2018.
[22] A. Sofyan, E. Ferdianto, R. Rahmawati and R. K. Aldi, "Pengaruh Search Engine Optimization (SEO) dan Riset Kata Kunci Terhadap Pendapat Toko Online," in Indo nusa Conference on Technology and Socia l Science , Surakarta, 2019.
[23] N. Nassar, A. Jafar and Y. Rahhal, "A Novel Deep Multi-Criteria Collaborative Filtering Model For Recommendation System," ELSEVIER, pp. 1-7, 25 June 2019.
[24] X. Zhao and K. Ji, "Tourism E-Commerce Recommender System Based on Web Data Mining," in International Conference on Web Data Mining, Colombo, Sri Lanka, 2013.
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Affiliations
Ni Wayan Priscila Yuni Praditya
author
Literature Review Recommendation System Using Hybrid Method (Collaborative Filtering & Content-Based Filtering) by Utilizing Social Media as Marketing
Abstract
The recommendation system is an application model based on observations of the circumstances and customer desires. In the recommendation system, several methods are used to support how the system works in producing information. One method of recommendation system that is quite popular is the method Hybrid. Several researchers have successfully applied this method in developing a tourism recommendation system, therefore to achieve the goal of implementing a tourism recommendation, it is better to take advantage of a marketing technique such as promotion in order to increase sales and attract more comprehensive customers. Therefore, a literature review on the method hybrid (Collaborative Filtering & Content-Based Filtering) of this travel recommendation system is carried out to collaborate between methods, algorithms, and a tool or media marketing applied in a recommendation system.