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Journal Articles
- 2024
[j15]Minsung Hong, Sojung An, Rajendra Akerkar, David Camacho
, Jason J. Jung:
Cross-cultural contextualisation for recommender systems. J. Ambient Intell. Humaniz. Comput. 15(2): 1659-1670 (2024)- 2023
- [j14]Minsung Hong, Namho Chung, Chulmo Koo:
Tourism recommendation based on word embedding from card transaction data. Comput. Sci. Inf. Syst. 20(3): 911-931 (2023) - [j13]Minsung Hong, Namho Chung, Chulmo Koo, Sun-Young Koh:
TPEDTR: temporal preference embedding-based deep tourism recommendation with card transaction data. Int. J. Data Sci. Anal. 16(2): 147-162 (2023) - 2022
- [j12]Minsung Hong, Jason J. Jung:
Sentiment aware tensor model for multi-criteria recommendation. Appl. Intell. 52(13): 15006-15025 (2022) - [j11]Minsung Hong, Chulmo Koo, Namho Chung:
DSER: Deep-Sequential Embedding for single domain Recommendation. Expert Syst. Appl. 208: 118156 (2022) - 2021
- [j10]Minsung Hong, Jason J. Jung:
Hypothetical tensor-based multi-criteria recommender system for new users with partial preferences. Comput. Sci. Inf. Syst. 18(1): 285-301 (2021) - [j9]Minsung Hong, Rajendra Akerkar:
Victim detection platform in IoT paradigm. Concurr. Comput. Pract. Exp. 33(3) (2021) - [j8]Minsung Hong, Jason J. Jung:
ClustPTF: Clustering-based parallel tensor factorization for the diverse multi-criteria recommendation. Electron. Commer. Res. Appl. 47: 101041 (2021) - [j7]Minsung Hong, Jason J. Jung:
Multi-criteria tensor model for tourism recommender systems. Expert Syst. Appl. 170: 114537 (2021) - [j6]Minsung Hong:
Decrease and conquer-based parallel tensor factorization for diversity and real-time of multi-criteria recommendation. Inf. Sci. 562: 259-278 (2021) - [j5]Minsung Hong, Jason J. Jung:
Multi-criteria tensor model consolidating spatial and temporal information for tourism recommendation. J. Ambient Intell. Smart Environ. 13(1): 5-19 (2021) - 2020
- [j4]Nam D. Vo, Minsung Hong, Jason J. Jung:
Implicit Stochastic Gradient Descent Method for Cross-Domain Recommendation System. Sensors 20(9): 2510 (2020) - 2019
- [j3]Minsung Hong, Rajendra Akerkar, Jason J. Jung:
Improving Explainability of Recommendation System by Multi-sided Tensor Factorization. Cybern. Syst. 50(2): 97-117 (2019) - 2018
- [j2]Minsung Hong, Jason J. Jung:
Visualizing Multidimensional Lifelogging Data: A Case Study on MyMovieHistory Project. Cybern. Syst. 49(5-6): 384-398 (2018) - [j1]Minsung Hong, Jason J. Jung:
Towards Social Big Data-Based Affective Group Recommendation. Mob. Networks Appl. 23(4): 1111-1122 (2018)
Conference and Workshop Papers
- 2020
- [c4]Hoang Long Nguyen, Minsung Hong, Rajendra Akerkar:
Exploring AI-Enabled Use Cases for Societal Security and Safety. AI4SG@AAAI Fall Symposium 2020 - 2018
- [c3]Timothy Schempp, Minsung Hong, Haoran Zhang, Rajendra Akerkar, Alexander Schmidt:
An Integrated Crowdsourced Framework for Disaster Relief Distribution. ICT-DM 2018: 1-4 - [c2]Rajendra Akerkar, Minsung Hong:
Unlocking Value from Ubiquitous Data. ICTERI (Revised Selected Papers) 2018: 3-17 - 2013
- [c1]Joong Chae Na, Heejin Park, Sunho Lee, Minsung Hong, Thierry Lecroq, Laurent Mouchard, Kunsoo Park:
Suffix Array of Alignment: A Practical Index for Similar Data. SPIRE 2013: 243-254
Coauthor Index
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