6 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.IR2024★ 1 cited
Improving One-class Recommendation with Multi-tasking on Various Preference Intensities
Chu-Jen Shao, Hao-Ming Fu, Pu-Jen Cheng
In the one-class recommendation problem, it's required to make recommendations basing on users' implicit feedback, which is inferred from their action and inaction. Existing works…
cs.LG2024★ 6 cited
Learning Unsupervised Semantic Document Representation for Fine-grained Aspect-based Sentiment Analysis
Hao-Ming Fu, Pu-Jen Cheng
Document representation is the core of many NLP tasks on machine understanding. A general representation learned in an unsupervised manner reserves generality and can be used for v…