41 citations · 105 across the 11 of their papers we have counts for
11 papers
Exploring Fine-tuning ChatGPT for News Recommendation
Xinyi Li, Yongfeng Zhang, Edward C Malthouse
News recommendation systems (RS) play a pivotal role in the current digital age, shaping how individuals access and engage with information. The fusion of natural language processi…
A Content-Driven Micro-Video Recommendation Dataset at Scale
Yongxin Ni, Yu Cheng, Xiangyan Liu +5
Micro-videos have recently gained immense popularity, sparking critical research in micro-video recommendation with significant implications for the entertainment, advertising, and…
The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples
Ziheng Chen, Fabrizio Silvestri, Jia Wang +2
Deep learning-based recommender systems have become an integral part of several online platforms. However, their black-box nature emphasizes the need for explainable artificial int…
PBNR: Prompt-based News Recommender System
Xinyi Li, Yongfeng Zhang, Edward C. Malthouse
Online news platforms often use personalized news recommendation methods to help users discover articles that align with their interests. These methods typically predict a matching…
HiCLIP: Contrastive Language-Image Pretraining with Hierarchy-aware Attention
Shijie Geng, Jianbo Yuan, Yu Tian +2
The success of large-scale contrastive vision-language pretraining (CLIP) has benefited both visual recognition and multimodal content understanding. The concise design brings CLIP…
Exploration and Regularization of the Latent Action Space in Recommendation
Shuchang Liu, Qingpeng Cai, Bowen Sun +7
In recommender systems, reinforcement learning solutions have effectively boosted recommendation performance because of their ability to capture long-term user-system interaction.…