Semi-supervised Learning for Recommender System
- Semi-supervised Collaborative Filtering by Text-enhanced Domain Adaptation (KDD'20)
- Bridging Collaborative Filtering and Semi-Supervised Learning: A Neural Approach for POI Recommendation (KDD'17)
- Semi-Supervised Learning for Cross-Domain Recommendation to Cold-Start Users (CIKM'19)
- Addressing Cold Start in Recommender Systems: A Semi-supervised Co-training Algorithm (SIGIR'14)
- Semi-Supervised Discriminative Preference Elicitation for Cold-Start Recommendation (CIKM'13)
- Shilling attack detection utilizing semi-supervised learning method for collaborative recommender system (WWW'13)
- HySAD: A Semi-Supervised Hybrid Shilling Attack Detector for Trustworthy Product Recommendation (KDD'12)
- Semi-SAD: Applying Semi-supervised Learning to Shilling Attack Detection (RecSys'11)
- Product Bundle Identification using Semi-Supervised Learning (SIGIR'20)
- New and Improved: Modeling Versions to Improve App Recommendation (SIGIR'14)
- A Semi-Supervised Hybrid System to Enhance the Recommendation of Channels in Terms of Campaign ROI (CIKM'11)
- Music Artist Style Identification by Semi-supervised Learning from both Lyrics and Content (MM'04)
- Adversarial Variational Embedding for Robust Semi-supervised Learning (KDD'19)
- Semi-Supervised Learning by Mixed Label Propagation (AAAI'17)
- TopRec: Domain-Specific Recommendation through Community Topic Mining in Social Network (WWW'13)
- Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction (SDM'09)
- A Learning Framework using Green’s Function and Kernel Regularization with Application to Recommender System (KDD'07)
- SSL-SVD: Semi-supervised Learning–based Sparse Trust Recommendation (TOIT'20)
- Semi-supervised Learning Meets Factorization: Learning to Recommend with Chain Graph Model (TKDD'18)
- Semi-supervised ranking aggregation (IPM'11)
- An iterative semi-explicit rating method for building collaborative recommender systems (ESWA'09)