November 27, 2022

CU-NII RecSys Workshop’21

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.

Time25/09/20212/10/2021
13:00-13:30 PM01
Unsupervised Context Extraction for Review-Based Recommendation
Padipat Sitkrongwong (SOKENDAI)
07
Knowledge Graph-Based Recommender Systems
Phannakan Tengkiattrakul (SOKENDAI
13:30-14:00 PM02
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 PM03
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 PM04
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 PM05
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 PM06
Personalized Preference Drift Aware Sequential Recommender System
Nakarin Sritrakool (CU)