output
20122026
most citedMLlib: Machine Learning in Apache Spark

961 citations

70 papers

cs.IR2026

GenPage: Towards End-to-End Generative Homepage Construction at Netflix

Lequn Wang, Jiangwei Pan, Linas Baltrunas

We present GenPage, an end-to-end generative approach to Netflix homepage construction that replaces the traditional multi-stage recommender stack with a single transformer. GenPag…

cs.CV2026

BodyReLux: Temporally Consistent Full-Body Video Relighting

Li Ma, Mingming He, Xueming Yu +4

Being able to relight human performance is a fundamental task for post production and content creation. We present BodyReLux, a subject-specific video diffusion-based framework for…

cs.IR2026

Towards Generalizable and Efficient Large-Scale Generative Recommenders

Qiuling Xu, Ko-Jen Hsiao, Moumita Bhattacharya

Generative recommendation models can model user behavior as sequences of events and provide a shared backbone for multiple recommendation tasks. In production, however, pre-trainin…

cs.CV2026

FreeOrbit4D: Training-Free Arbitrary Camera Redirection for Monocular Videos via Foreground-Complete 4D Reconstruction

Wei Cao, Hao Zhang, Fengrui Tian +5

Camera redirection aims to replay a dynamic scene from a single monocular video under a user-specified camera trajectory. However, large-angle redirection is inherently ill-posed:…

cs.IR2025

Does Weighting Improve Matrix Factorization for Recommender Systems?

Alex Ayoub, Samuel Robertson, Dawen Liang +2

Matrix factorization is a widely used approach for top-N recommendation and collaborative filtering. When implemented on implicit feedback data (such as clicks), a common heuristic…

cs.CV2025★ 1 cited

Subjective and Objective Quality Assessment of Banding Artifacts on Compressed Videos

Qi Zheng, Li-Heng Chen, Chenlong He +6

Although there have been notable advancements in video compression technologies in recent years, banding artifacts remain a serious issue affecting the quality of compressed videos…