Hung‐Hsuan Chen

Common Pitfalls in Training and Evaluating Recommender Systems

2017 · ACM SIGKDD Explorations Newsletter

This paper formally presents four common pitfalls in training and evaluating recommendation algorithms for information systems. Specifically, we show that it could be problematic to separate the server logs into training and test data for …

Experience: Analyzing Missing Web Page Visits and Unintentional Web Page Visits from the Client-side Web Logs

2022 · Journal of Data and Information Quality

Web logs have been widely used to represent the web page visits of online users. However, we found that web logs in Chrome’s browsing history only record 57% of users’ visited websites, i.e., nearly half …

Flexible Bivariate Beta Mixture Model: A Probabilistic Approach for Clustering Complex Data Structures

2025 · arXiv (Cornell University)

Clustering is essential in data analysis and machine learning, but traditional algorithms like $k$-means and Gaussian Mixture Models (GMM) often fail with nonconvex clusters. To address the challenge, we introduce the Flexible Bivariate Beta Mixture …