Welcome to Joint Student Workshop on Recommender Systems. This workshop aim to promote research collaboration between Chulalongkorn University, Thailand and National Institute of Informatics, Japan under International Exchange Agreements (MoU). Under the MoU, this student workshop aims at exchanging ideas and discussing the research problems among the students in both institutions who are interested in recommender systems.
| Time | 25/09/2021 | 2/10/2021 |
| 13:00-13:30 PM | 01 Unsupervised Context Extraction for Review-Based Recommendation Padipat Sitkrongwong (SOKENDAI) | 07 Knowledge Graph-Based Recommender Systems Phannakan Tengkiattrakul (SOKENDAI |
| 13:30-14:00 PM | 02 ARERec: Attention-Based Region Embedding for User and Item Latent Extraction in Sequential Recommendation Umaporn Padungkiatwattana (CU) | 08 Cross-Domain Recommendation Framework and Its Improvement using Adversarial Learning and Few-Shot Learning Pongsakorn Jirachanchaisiri (SOKENDAI) |
| 14:00-14:30 PM | 03 TransRev: Modeling Reviews as Translations from Users to Items Pathompong Muangthong (CU) | 09 A Neural Influence and Interest Diffusion Network for Social Recommendation Janekhwan Kitsupapaisan (CU) |
| 14:30-15:00 PM | 04 A Personalized Hashtag Recommendation Approach Using LDA-based Topic Model in Microblog Environment Thunchanok Tangpong (CU) | 10 HybridBERT4Rec: a hybrid (content-based filtering and collaborative filtering) recommender system based on BERT Chanapa Channarong (CU) |
| 15:00-15:30 PM | 05 A model which can provide a personalized set of explicit feature which are dynamic to each interaction without requiring a predefined set of features beforehand Natthapol Maneechote (CU) | 11 BERTFOREX: Cascading Model for FOREX Market Forecasting using Fundamental and Technical Indicator Data based on BERT Arisara Pornwattanavichai (CU) |
| 15:30-16:00 PM | 06 Personalized Preference Drift Aware Sequential Recommender System Nakarin Sritrakool (CU) |