Minsung Hong

According to our database, Minsung Hong authored at least 19 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Cross-cultural contextualisation for recommender systems.

Minsung Hong, Sojung An, Rajendra Akerkar, David Camacho, Jason J. Jung

J. Ambient Intell. Humaniz. Comput., February, 2024

2023

TPEDTR: temporal preference embedding-based deep tourism recommendation with card transaction data.

Minsung Hong, Namho Chung, Chulmo Koo, Sun-Young Koh

Int. J. Data Sci. Anal., August, 2023

Tourism recommendation based on word embedding from card transaction data.

Minsung Hong, Namho Chung, Chulmo Koo

Comput. Sci. Inf. Syst., 2023

2022

DSER: Deep-Sequential Embedding for single domain Recommendation.

Minsung Hong, Chulmo Koo, Namho Chung

Expert Syst. Appl., 2022

Sentiment aware tensor model for multi-criteria recommendation.

Minsung Hong, Jason J. Jung

Appl. Intell., 2022

2021

Multi-criteria tensor model consolidating spatial and temporal information for tourism recommendation.

Minsung Hong, Jason J. Jung

J. Ambient Intell. Smart Environ., 2021

Decrease and conquer-based parallel tensor factorization for diversity and real-time of multi-criteria recommendation.

Minsung Hong

Inf. Sci., 2021

Multi-criteria tensor model for tourism recommender systems.

Minsung Hong, Jason J. Jung

Expert Syst. Appl., 2021

ClustPTF: Clustering-based parallel tensor factorization for the diverse multi-criteria recommendation.

Minsung Hong, Jason J. Jung

Electron. Commer. Res. Appl., 2021

Victim detection platform in IoT paradigm.

Minsung Hong, Rajendra Akerkar

Concurr. Comput. Pract. Exp., 2021

Hypothetical tensor-based multi-criteria recommender system for new users with partial preferences.

Minsung Hong, Jason J. Jung

Comput. Sci. Inf. Syst., 2021

2020

Implicit Stochastic Gradient Descent Method for Cross-Domain Recommendation System.

Nam D. Vo, Minsung Hong, Jason J. Jung

Sensors, 2020

Exploring AI-Enabled Use Cases for Societal Security and Safety.

Hoang Long Nguyen, Minsung Hong, Rajendra Akerkar

Proceedings of the AAAI Fall Symposium on AI for Social Good, 2020

2019

Improving Explainability of Recommendation System by Multi-sided Tensor Factorization.

Minsung Hong, Rajendra Akerkar, Jason J. Jung

Cybern. Syst., 2019

2018

Towards Social Big Data-Based Affective Group Recommendation.

Minsung Hong, Jason J. Jung

Mob. Networks Appl., 2018

Visualizing Multidimensional Lifelogging Data: A Case Study on MyMovieHistory Project.

Minsung Hong, Jason J. Jung

Cybern. Syst., 2018

Unlocking Value from Ubiquitous Data.

Rajendra Akerkar, Minsung Hong

Proceedings of the Information and Communication Technologies in Education, Research, and Industrial Applications, 2018

An Integrated Crowdsourced Framework for Disaster Relief Distribution.

Timothy Schempp, Minsung Hong, Haoran Zhang, Rajendra Akerkar, Alexander Schmidt

Proceedings of the 5th International Conference on Information and Communication Technologies for Disaster Management, 2018

2013

Suffix Array of Alignment: A Practical Index for Similar Data.

Joong Chae Na, Heejin Park, Sunho Lee, Minsung Hong, Thierry Lecroq, Laurent Mouchard, Kunsoo Park

Proceedings of the String Processing and Information Retrieval, 2013