A5053158611- Recommender Systems and Techniques
- Face and Expression Recognition
- Image Retrieval and Classification Techniques
- Ionosphere and magnetosphere dynamics
- Sentiment Analysis and Opinion Mining
- Geophysics and Gravity Measurements
- Topic Modeling
- Solar and Space Plasma Dynamics
Naver (South Korea)
2017-2023
Chungnam National University
2021
A fundamental role of news websites is to recommend articles that are interesting read. The key challenge recommendation newly published articles. Unlike other domains, outdated items considered be irrelevant in the task. Another candidates not seen training phase. In this paper, we introduce deep neural network models overcome these challenges. propose a modified session-based Recurrent Neural Network (RNN) model tailored as well history-based RNN spans whole user's past histories. Finally,...
In this paper, an operational Dst index prediction model is developed by combining empirical and Artificial Neural Network (ANN) models. ANN algorithms are widely used to predict space weather conditions. While they require a large amount of data for machine learning, large-scale geomagnetic storms have not occurred sufficiently the last 20 years, Advanced Composition Explorer (ACE) Deep Space Climate Observatory (DSCOVR) mission operation period. Conversely, models based on numerical...
Feature selection, which is a technique to select key features in recommender systems, has received increasing research attention. Recently, Adaptive Selection (AdaFS) shown remarkable performance by adaptively selecting for each data instance, considering that the importance of given feature field can vary significantly across data. However, this method still limitations its selection process could be easily biased major frequently occur. To address these problems, we propose Multi-view...