28 citations · 30 across the 3 of their papers we have counts for
4 papers
Diversely Regularized Matrix Factorization for Accurate and Aggregately Diversified Recommendation
Jongjin Kim, Hyunsik Jeon, Jaeri Lee +1
When recommending personalized top- items to users, how can we recommend the items diversely to them while satisfying their needs? Aggregately diversified recommender systems ai…
Ensemble Multi-Source Domain Adaptation with Pseudolabels
Seongmin Lee, Hyunsik Jeon, U Kang
Given multiple source datasets with labels, how can we train a target model with no labeled data? Multi-source domain adaptation (MSDA) aims to train a model using multiple source…
Data Context Adaptation for Accurate Recommendation with Additional Information
Hyunsik Jeon, Bonhun Koo, U Kang
Given a sparse rating matrix and an auxiliary matrix of users or items, how can we accurately predict missing ratings considering different data contexts of entities? Many previous…
UniWalk: Explainable and Accurate Recommendation for Rating and Network Data
Haekyu Park, Hyunsik Jeon, Junghwan Kim +2
How can we leverage social network data and observed ratings to correctly recommend proper items and provide a persuasive explanation for the recommendations? Many online services…