Minsung Hong

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 18

Top Topics

Tensor Factorization

Top Venues

Comput. Sci. Inf. Syst.

Expert Syst. Appl.

Publications

Minsung Hong, Sojung An, Rajendra Akerkar, David Camacho, Jason J. Jung
Cross-cultural contextualisation for recommender systems. J. Ambient Intell. Humaniz. Comput. 15 (2) (2024)
Minsung Hong, Namho Chung, Chulmo Koo
Tourism recommendation based on word embedding from card transaction data. Comput. Sci. Inf. Syst. 20 (3) (2023)
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) (2023)
Minsung Hong, Jason J. Jung
Sentiment aware tensor model for multi-criteria recommendation. Appl. Intell. 52 (13) (2022)
Minsung Hong, Chulmo Koo, Namho Chung
DSER: Deep-Sequential Embedding for single domain Recommendation. Expert Syst. Appl. 208 (2022)
Minsung Hong, Jason J. Jung
Multi-criteria tensor model for tourism recommender systems. Expert Syst. Appl. 170 (2021)
Minsung Hong
Decrease and conquer-based parallel tensor factorization for diversity and real-time of multi-criteria recommendation. Inf. Sci. 562 (2021)
Minsung Hong, Jason J. Jung
Multi-criteria tensor model consolidating spatial and temporal information for tourism recommendation. J. Ambient Intell. Smart Environ. 13 (1) (2021)
Minsung Hong, Rajendra Akerkar
Victim detection platform in IoT paradigm. Concurr. Comput. Pract. Exp. 33 (3) (2021)
Minsung Hong, Jason J. Jung
Hypothetical tensor-based multi-criteria recommender system for new users with partial preferences. Comput. Sci. Inf. Syst. 18 (1) (2021)
Minsung Hong, Jason J. Jung
ClustPTF: Clustering-based parallel tensor factorization for the diverse multi-criteria recommendation. Electron. Commer. Res. Appl. 47 (2021)
Nam D. Vo, Minsung Hong, Jason J. Jung
Implicit Stochastic Gradient Descent Method for Cross-Domain Recommendation System. Sensors 20 (9) (2020)
Hoang Long Nguyen, Minsung Hong, Rajendra Akerkar
Exploring AI-Enabled Use Cases for Societal Security and Safety. AI4SG@AAAI Fall Symposium (2020)
Minsung Hong, Rajendra Akerkar, Jason J. Jung
Improving Explainability of Recommendation System by Multi-sided Tensor Factorization. Cybern. Syst. 50 (2) (2019)
Minsung Hong, Jason J. Jung
Towards Social Big Data-Based Affective Group Recommendation. Mob. Networks Appl. 23 (4) (2018)
Timothy Schempp, Minsung Hong, Haoran Zhang, Rajendra Akerkar, Alexander Schmidt
An Integrated Crowdsourced Framework for Disaster Relief Distribution. ICT-DM (2018)
Minsung Hong, Jason J. Jung
Visualizing Multidimensional Lifelogging Data: A Case Study on MyMovieHistory Project. Cybern. Syst. 49 (5-6) (2018)
Rajendra Akerkar, Minsung Hong
Unlocking Value from Ubiquitous Data. ICTERI (Revised Selected Papers) (2018)
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)