13 citations · 13 across the 3 of their papers we have counts for
6 papers
Hybrid Collaborative Filtering Models for Clinical Search Recommendation
Zhiyun Ren, Bo Peng, Titus K. Schleyer +1
With increasing and extensive use of electronic health records, clinicians are often under time pressure when they need to retrieve important information efficiently among large am…
M2: Mixed Models with Preferences, Popularities and Transitions for Next-Basket Recommendation
Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy +1
Next-basket recommendation considers the problem of recommending a set of items into the next basket that users will purchase as a whole. In this paper, we develop a novel mixed mo…
HAM: Hybrid Associations Models for Sequential Recommendation
Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy +1
Sequential recommendation aims to identify and recommend the next few items for a user that the user is most likely to purchase/review, given the user's purchase/rating trajectorie…
ALE: Additive Latent Effect Models for Grade Prediction
Zhiyun Ren, Xia Ning, Huzefa Rangwala
The past decade has seen a growth in the development and deployment of educational technologies for assisting college-going students in choosing majors, selecting courses and acqui…
Grade Prediction with Temporal Course-wise Influence
Zhiyun Ren, Xia Ning, Huzefa Rangwala
There is a critical need to develop new educational technology applications that analyze the data collected by universities to ensure that students graduate in a timely fashion (4…
Predicting Performance on MOOC Assessments using Multi-Regression Models
Zhiyun Ren, Huzefa Rangwala, Aditya Johri
The past few years has seen the rapid growth of data min- ing approaches for the analysis of data obtained from Mas- sive Open Online Courses (MOOCs). The objectives of this study…