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20202026
most citedMulti-Modal Self-Supervised Learning for Recommendation

222 citations · 614 across the 66 of their papers we have counts for

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5 papers · 1 filter

cs.IR2025

AutoData: A Multi-Agent System for Open Web Data Collection

Tianyi Ma, Yiyue Qian, Zheyuan Zhang +9

The exponential growth of data-driven systems and AI technologies has intensified the demand for high-quality web-sourced datasets. While existing datasets have proven valuable, co…

cs.IR2024★ 5 cited

MOPI-HFRS: A Multi-objective Personalized Health-aware Food Recommendation System with LLM-enhanced Interpretation

Zheyuan Zhang, Zehong Wang, Tianyi Ma +8

The prevalence of unhealthy eating habits has become an increasingly concerning issue in the United States. However, major food recommendation platforms (e.g., Yelp) continue to pr…

cs.IR2023★ 222 cited

Multi-Modal Self-Supervised Learning for Recommendation

Wei Wei, Chao Huang, Lianghao Xia +1

The online emergence of multi-modal sharing platforms (eg, TikTok, Youtube) is powering personalized recommender systems to incorporate various modalities (eg, visual, textual and…

cs.IR2022★ 158 cited

Self-Supervised Hypergraph Transformer for Recommender Systems

Lianghao Xia, Chao Huang, Chuxu Zhang

Graph Neural Networks (GNNs) have been shown as promising solutions for collaborative filtering (CF) with the modeling of user-item interaction graphs. The key idea of existing GNN…

cs.IR2022★ 1 cited

RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation

Yijun Tian, Chuxu Zhang, Zhichun Guo +3

Recipe recommendation systems play an essential role in helping people decide what to eat. Existing recipe recommendation systems typically focused on content-based or collaborativ…