Design and Implementation of Place Recommendation System based on Collaborative Filtering using Living Index |
Lee, Ju-Oh
(Department of Computer Engineering, Sejong University)
Lee, Hyung-Geol (Department of Computer Engineering, Sejong University) Kim, Ah-Yeon (Department of Computer Engineering, Sejong University) Heo, Seung-Yeon (Department of Computer Engineering, Sejong University) Park, Woo-Jin (Department of Computer Engineering, Sejong University) Ahn, Yong-Hak (Department of Computer Engineering, Sejong University) |
1 | H. J. Bae & S. W. Lee. (2020). A study on user recognition of personalized recommended service platforms by content characteristics. Journal of Korea Broadcasting and Telecommunication Studies, 34(3), 5-42. |
2 | G. S. Ko et al. (2017). Contents Recommendation Scheme Considering User Activity in Social Network Environments. Journal of The Korea Contents Association, 17(2), 404-414. DOI |
3 | S. H. Park, J. W. Kim, D. H. Kim & H. J. Cho. (2019). Music Therapy Counseling Recommendation Model Based on Collaborative Filtering. Journal of the Korea Convergence Society, 10(9), 31-36. DOI: 10.15207/JKCS.2019.10.9.031 |
4 | S. J. Lee, T. R. Jeon, G. D. Baek & S. S. Kim. (2009). A Movie Rating Prediction System of User Propensity Analysis based on Collaborative Filtering and Fuzzy System. Journal of Korean Institute of Intelligent Systems, 19(2), 242-247. DOI |
5 | K. I. Jung, B. I Ahn, J. J. Kim & K. J. Han. (2014). Location Recommendation System based on LBSNS. Journal of Digital Convergence, 12(6), 277-287. DOI: 10.14400/JDC.2014.12.6.277 DOI |
6 | C. Y. Cho, G. I. Jung, Y. M. Seo & H. R. Choi. (2017). An Empirical Study on the Influence of Weather and Daytime on Restaurant Menu search System. Smart media journal, 6(2), 50-56. |
7 | B. I. Ahn, K. I. Jung & H. L. Choi. (2017). Mobile Context Based User Behavior Pattern Inference and Restaurant Recommendation Model. Journal of digital contents society, 18(3), 535.0-542.0. DOI |
8 | J. W. Roh, K. H. Yoon, J. K. Kim & J. H. Lee. (2008). A Music Recommendation System Using Collaborative Filtering and Context Awareness. Conference of Korean Society of Intelligent Systems, 18(2), 76-79. |
9 | J. E. Son, S. B. Kim, H. J. Kim & S. Z. Cho. (2015). Review and Analysis of Recommender Systems. Journal of Korean institute of industrial engineers, 41(2), 185.0-208.0. DOI |
10 | J. Byun & D. K. Kim. (2016). Design and Implementation of Location Recommending Services using Personal Emotional Information based on Collaborative Filtering. Journal of the Korea Institute of Information and Communication Engineering, 20(8), 1407-1414. DOI |
11 | H. C. Shin & S. B. Cho. (2013). A Location-based Collaborative Filtering Recommender using Quadtree. Journal of KIISE : Computing Practices and Letters, 19(1), 15-22. |
12 | Y. S. Yoo, J. S. Kim, B. Y. Sohn & J. J. Jung. (2017). Evaluation of Collaborative Filtering Methods for Developing Online Music Contents Recommendation System. The transactions of the Korean Institute of Electrical Engineers, 66(7), 1083.0-1091.0. DOI |
13 | H. J. Kwon & K. S. Hong. (2010). Personalization of LBS using Recommender Systems Based on Collaborative Filtering. Journal of Internet Computing and Services (JICS), 11(6), 1-11. |
14 | S. H. Bae, T. Y. Kim & D. W. Seo. (2017). Design of Emotion Image Recommendation System using Bio Emotion Information and Collaborative Filtering. Journal of advanced engineering and technology, 10(4), 479-487. DOI |
15 | J. M. Kim. (2018). Study on the Development of Collaborative Filtering Systems and Its Application. Journal of Social Science, 29(2), 197-209. DOI |
16 | K. J. Hyun, J. W. Park & H. S Choi. (2015). The Effect of Customers' Experience of Diverse Goods and Selection of Popular Commodity on Recommendation System. Journal of The Korean Data Analysis Society, 17(6), 3097-3106. |
17 | J. L. Herlocker, J. A. Konstan, Al Borchers & J. Riedl. (1999). An Algorithmic Framework for Performing Collaborative Filtering, In Proceeding of SIGIR-99, 230-237. |