Hongke Zhao

Interactive Attention Transfer Network for Cross-Domain Sentiment Classification

2019 · Proceedings of the AAAI Conference on Artificial Intelligence

Cross-domain sentiment classification refers to utilizing useful knowledge in the source domain to help sentiment classification in the target domain which has few or no labeled data. Most existing methods mainly concentrate on extracting common …

Alpha-Beta Sampling for Pairwise Ranking in One-Class Collaborative Filtering

2019

This paper introduces Alpha-Beta Sampling (ABS) strategy, which is particularly intended for the sampling problem of pairwise ranking in one-class collaborative filtering (PROCCF). Specifically, ABS strategy places more emphasis on such training examples, including positive …

SimCDR: Preserving Intra-Domain Similarities of Users for Cross-Domain Recommendation

2025 · ACM Transactions on Information Systems

Cross-Domain Recommendation (CDR) can effectively alleviate the data sparsity issue in the recommendation system by transferring the source domain knowledge to the target domain. Many CDR methods try to find a mapping of latent embeddings …

Learning from History and Present

2018

In the modern e-commerce, the behaviors of customers contain rich information, e.g., consumption habits, the dynamics of preferences. Recently, session-based recommendationsare becoming popular to explore the temporal characteristics of customers' interactive behaviors. However, existing works …