4 citations · 16 across the 24 of their papers we have counts for
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cs.IR2025
What Generative Search Engines Like and How to Optimize Web Content Cooperatively
Yujiang Wu, Shanshan Zhong, Yubin Kim +1
By employing large language models (LLMs) to retrieve documents and generate natural language responses, Generative Engines, such as Google AI overview and ChatGPT, provide signifi…
cs.IR2025
Multimodal Representation-disentangled Information Bottleneck for Multimodal Recommendation
Hui Wang, Jinghui Qin, Wushao Wen +3
Multimodal data has significantly advanced recommendation systems by integrating diverse information sources to model user preferences and item characteristics. However, these syst…
cs.IR2024
Mirror Gradient: Towards Robust Multimodal Recommender Systems via Exploring Flat Local Minima
Shanshan Zhong, Zhongzhan Huang, Daifeng Li +3
Multimodal recommender systems utilize various types of information to model user preferences and item features, helping users discover items aligned with their interests. The inte…