WHO AM I?
A learner in the fields of Deep Learning, Natural Language Processing, Recommendation System.
A person who likes fitness and travel
M.S., in Computer Science and Engineering (Data Mining), NTNU
RESEARCH in
- Text Mining
- Machine Learning
- Natural Language Processing
- Recommendation System
EDUCATION
National Taiwan Normal University
- Master of Science in Computer science and Information Engineering
National Kaohsiung University of Science and Technology
- Bachelor of Science in Computer science and Information Engineering
THESIS
Explainable Recommendation System for Solving Review Loss
- Proposed a review-base recommendation system named HANN-Plus, a multi-tasking hierarchical attention neural network to model user’s preference and item’s preference
- HANN-Plus not only provides explanation for prediction, but also used to generate the representation of lost review for further improving the performance
- Extensive experiments on real-world datasets of Amazon illustrate that HANN-Plus outperforms the state-of-the-art rating prediction methods
TECHNICAL SKILLS
Programming
- Python (approx. 3 years experience. Mainly used)
- JAVA (Android)
- C#
Database / Analyst
- MySQL (MariaDB, SQL Server)
- Pandas
Deep Learning
- Numpy
- PyTorch
- Scikit-Learn
- Gensim
Model Development
- Experience in machine learning development and optimization
- SVM, Boosting, Regression model
- CNN
- Sequential model (e.g. RNN, LSTM, GRU)
- Attention model
- Transformers
- BERT
Recommendation System
Strong experience in modeling user-item interaction.
Research heavily in :
- Collaborative filtering
- Matrix factorization
- Click-through rate (CTR) prediction
- Review-based recommendation system
- Knowledge Graph-based recommendation system
RESUME
- Link