12 citations · 30 across the 5 of their papers we have counts for
5 papers
A Collaborative Filtering-Based Two Stage Model with Item Dependency for Course Recommendation
Eric L. Lee, Tsung-Ting Kuo, Shou-De Lin
Recommender systems have been studied for decades with numerous promising models been proposed. Among them, Collaborative Filtering (CF) models are arguably the most successful one…
GraphFC: Customs Fraud Detection with Label Scarcity
Karandeep Singh, Yu-Che Tsai, Cheng-Te Li +2
Custom officials across the world encounter huge volumes of transactions. With increased connectivity and globalization, the customs transactions continue to grow every year. Assoc…
Characterizing and Predicting Repeat Food Consumption Behavior for Just-in-Time Interventions
Yue Liu, Helena Lee, Palakorn Achananuparp +3
Human beings are creatures of habit. In their daily life, people tend to repeatedly consume similar types of food items over several days and occasionally switch to consuming diffe…
Towards a More Reliable Privacy-preserving Recommender System
Jia-Yun Jiang, Cheng-Te Li, Shou-De Lin
This paper proposes a privacy-preserving distributed recommendation framework, Secure Distributed Collaborative Filtering (SDCF), to preserve the privacy of value, model and existe…
Toward Implicit Sample Noise Modeling: Deviation-driven Matrix Factorization
Guang-He Lee, Shao-Wen Yang, Shou-De Lin
The objective function of a matrix factorization model usually aims to minimize the average of a regression error contributed by each element. However, given the existence of stoch…