← Search

Junsu Cho

2 accepted papers

2023

Dynamic Multi-Behavior Sequence Modeling for Next Item Recommendation

AAAI 2023technical

Sequential Recommender Systems (SRSs) aim to predict the next item that users will consume, by modeling the user interests within their item sequences. While most existing SRSs focus on a single type of user behavior, only a few pay attention to multi-behavior sequences, although they are very commo…

Cited by 19SourcePDFScholar
2020

Building Large-Scale English and Korean Datasets for Aspect-Level Sentiment Analysis in Automotive Domain

COLING 2020main

We release large-scale datasets of users’ comments in two languages, English and Korean, for aspect-level sentiment analysis in automotive domain. The datasets consist of 58,000+ commentaspect pairs, which are the largest compared to existing datasets. In addition, this work covers new language (i.e…