36 citations · 63 across the 11 of their papers we have counts for
5 papers · 1 filter
Improving Conversational Passage Re-ranking with View Ensemble
Jia-Huei Ju, Sheng-Chieh Lin, Ming-Feng Tsai +1
This paper presents ConvRerank, a conversational passage re-ranker that employs a newly developed pseudo-labeling approach. Our proposed view-ensemble method enhances the quality o…
Personalized TV Recommendation: Fusing User Behavior and Preferences
Sheng-Chieh Lin, Ting-Wei Lin, Jing-Kai Lou +2
In this paper, we propose a two-stage ranking approach for recommending linear TV programs. The proposed approach first leverages user viewing patterns regarding time and TV channe…
Skewness Ranking Optimization for Personalized Recommendation
Chuan-Ju Wang, Yu-Neng Chuang, Chih-Ming Chen +1
In this paper, we propose a novel optimization criterion that leverages features of the skew normal distribution to better model the problem of personalized recommendation. Specifi…
Collaborative Similarity Embedding for Recommender Systems
Chih-Ming Chen, Chuan-Ju Wang, Ming-Feng Tsai +1
We present collaborative similarity embedding (CSE), a unified framework that exploits comprehensive collaborative relations available in a user-item bipartite graph for representa…
Superhighway: Bypass Data Sparsity in Cross-Domain CF
Kwei-Herng Lai, Ting-Hsiang Wang, Heng-Yu Chi +3
Cross-domain collaborative filtering (CF) aims to alleviate data sparsity in single-domain CF by leveraging knowledge transferred from related domains. Many traditional methods foc…