cold-start recommendation 1kalman filter 1semantic encoding 1time-aware recommendation 1uncertainty estimation 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.IR2026
NMKFR: A Robust Framework for Time-Aware Cold-Start Recommendation
Chengzhi Liu, Ning Zeng, Zehui Qu
The paper introduces NMKFR, a neural framework that fuses semantic text encoding with time-aware Kalman state tracking to improve recommendation of new items under changing tempora…
cs.IR2025
EMK-KEN: A High-Performance Approach for Assessing Knowledge Value in Citation Network
Zehui Qu, Chengzhi Liu, Hanwen Cui +1
With the explosive growth of academic literature, effectively evaluating the knowledge value of literature has become quite essential. However, most of the existing methods focus o…