| Social recommendation service for cultural heritage M Hong, JJ Jung, F Piccialli, A Chianese Personal and ubiquitous computing 21, 191-201, 2017 | 77 | 2017 |
| Cognitive similarity-based collaborative filtering recommendation system LV Nguyen, MS Hong, JJ Jung, BS Sohn Applied Sciences 10 (12), 4183, 2020 | 60 | 2020 |
| Multi-sided recommendation based on social tensor factorization M Hong, JJ Jung Information Sciences 447, 140-156, 2018 | 54 | 2018 |
| Multi-criteria tensor model for tourism recommender systems M Hong, JJ Jung Expert Systems with Applications 170, 114537, 2021 | 42 | 2021 |
| A framework to integrate social media and authoritative data for disaster relief detection and distribution optimization T Schempp, H Zhang, A Schmidt, M Hong, R Akerkar International Journal of Disaster Risk Reduction 39, 101143, 2019 | 41 | 2019 |
| Mymoviehistory: social recommender system by discovering social affinities among users M Hong, JJ Jung Cybernetics and Systems 47 (1-2), 88-110, 2016 | 31 | 2016 |
| Adaptive collaborative filtering based on scalable clustering for big recommender systems OJ Lee, MS Hong, JJ Jung, J Shin, P Kim Acta Polytechnica Hungarica 13 (2), 179-194, 2016 | 26 | 2016 |
| GRSAT: a novel method on group recommendation by social affinity and trustworthiness M Hong, JJ Jung, D Camacho Cybernetics and Systems 48 (3), 140-161, 2017 | 24 | 2017 |
| Global optimization for multi-stage construction of rescue units in disaster response N Xu, Q Zhang, H Zhang, M Hong, R Akerkar, Y Liang Sustainable Cities and Society 51, 101768, 2019 | 23 | 2019 |
| Implicit stochastic gradient descent method for cross-domain recommendation system ND Vo, M Hong, JJ Jung Sensors 20 (9), 2510, 2020 | 14 | 2020 |
| Cross-cultural contextualisation for recommender systems M Hong, S An, R Akerkar, D Camacho, JJ Jung Journal of Ambient Intelligence and Humanized Computing, 1-12, 2019 | 14 | 2019 |
| Multi-criteria tensor model consolidating spatial and temporal information for tourism recommendation M Hong, JJ Jung Journal of Ambient Intelligence and Smart Environments 13 (1), 5-19, 2021 | 13 | 2021 |
| Decrease and conquer-based parallel tensor factorization for diversity and real-time of multi-criteria recommendation M Hong Information Sciences 562, 259-278, 2021 | 12 | 2021 |
| Improving explainability of recommendation system by multi-sided tensor factorization M Hong, R Akerkar, JJ Jung Cybernetics and Systems 50 (2), 97-117, 2019 | 12 | 2019 |
| Serendipity-based storification: from lifelogging to storytelling JE Jung, M Hong, HL Nguyen Multimedia Tools and Applications 76, 10345-10356, 2017 | 8 | 2017 |
| Scalable collaborative filtering technique based on adaptive clustering O Lee, MS Hong, WJ Lee, JD Lee Journal of Intelligence and Information Systems 20 (2), 73-92, 2014 | 8 | 2014 |
| TPEDTR: temporal preference embedding-based deep tourism recommendation with card transaction data M Hong, N Chung, C Koo, SY Koh International Journal of Data Science and Analytics 16 (2), 147-162, 2023 | 6 | 2023 |
| DSER: Deep-sequential embedding for single domain recommendation M Hong, C Koo, N Chung Expert Systems with Applications 208, 118156, 2022 | 6 | 2022 |
| Social affinity-based group recommender system M Hong, JJ Jung, M Lee Context-Aware Systems and Applications: 4th International Conference, ICCASA …, 2016 | 6 | 2016 |
| Meta-data configuration and wellness feature analysis technique for wellness content recommendation M Hong, O Lee, W Lee, J Lee Journal of the Korea Society of Computer and Information 19 (8), 83-93, 2014 | 6 | 2014 |
