Contrastive Learning Augmented Social Recommendations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Lin, Wang, Weisong, Xiao, Xuanji, Li, Qing
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval Artificial Intelligence Social and Information Networks
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

RecDiff: Diffusion Model for Social Recommendation
by: Li, Zongwei, et al.
Published: (2024)

FROG: Effective Friend Recommendation in Online Games via Modality-aware User Preferences
by: Wang, Qiwei, et al.
Published: (2025)

Leveraging LLMs for Mental Health: Detection and Recommendations from Social Discussions
by: Aggarwal, Vaishali, et al.
Published: (2025)

Enhancing POI Recommendation through Global Graph Disentanglement with POI Weighted Module
by: Li, Pei-Xuan, et al.
Published: (2025)

Burger: Robust Graph Denoising-augmentation Fusion and Multi-semantic Modeling in Social Recommendation
by: Lan, Yuqin, et al.
Published: (2025)

MMBee: Live Streaming Gift-Sending Recommendations via Multi-Modal Fusion and Behaviour Expansion
by: Deng, Jiaxin, et al.
Published: (2024)

P4GCN: Vertical Federated Social Recommendation with Privacy-Preserving Two-Party Graph Convolution Network
by: Wang, Zheng, et al.
Published: (2024)

Semantic Codebook Learning for Dynamic Recommendation Models
by: Lv, Zheqi, et al.
Published: (2024)

Heterogeneous Influence Maximization in User Recommendation
by: Hou, Hongru, et al.
Published: (2025)

Flexible Generation of Preference Data for Recommendation Analysis
by: Mungari, Simone, et al.
Published: (2024)

SoMeR: Multi-View User Representation Learning for Social Media
by: Guo, Siyi, et al.
Published: (2024)

Beyond Homophily: Community Search on Heterophilic Graphs
by: Sima, Qing, et al.
Published: (2026)

Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation
by: Zhao, Chu, et al.
Published: (2024)

Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation
by: Cui, Ziqiang, et al.
Published: (2025)

Beyond Negative Transfer: Disentangled Preference-Guided Diffusion for Cross-Domain Sequential Recommendation
by: Ye, Xiaoxin, et al.
Published: (2025)

MAS4POI: a Multi-Agents Collaboration System for Next POI Recommendation
by: Wu, Yuqian, et al.
Published: (2024)

Algorithmic Drift: A Simulation Framework to Study the Effects of Recommender Systems on User Preferences
by: Coppolillo, Erica, et al.
Published: (2024)

Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start Recommendations
by: Wu, Xuansheng, et al.
Published: (2023)

A Comparative Study on Enhancing Prediction in Social Network Advertisement through Data Augmentation
by: Yang, Qikai, et al.
Published: (2024)

AMIR: Automated MisInformation Rebuttal -- A COVID-19 Vaccination Datasets based Recommendation System
by: Sharma, Shakshi, et al.
Published: (2023)

Contextualizing Internet Memes Across Social Media Platforms
by: Joshi, Saurav, et al.
Published: (2023)

Cluster-guided Contrastive Class-imbalanced Graph Classification
by: Ju, Wei, et al.
Published: (2024)

RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction
by: Li, Yushen, et al.
Published: (2024)

Modeling Social Media Recommendation Impacts Using Academic Networks: A Graph Neural Network Approach
by: Guidotti, Sabrina, et al.
Published: (2024)

Enhancing Social Media Personalization: Dynamic User Profile Embeddings and Multimodal Contextual Analysis Using Transformer Models
by: Vachharajani, Pranav
Published: (2024)

HGCL: Hierarchical Graph Contrastive Learning for User-Item Recommendation
by: Xue, Jiawei, et al.
Published: (2025)

Heterogeneous Hypergraph Embedding for Recommendation Systems
by: Sakong, Darnbi, et al.
Published: (2024)

DisenSemi: Semi-supervised Graph Classification via Disentangled Representation Learning
by: Wang, Yifan, et al.
Published: (2024)

Retrieval-Augmented Purifier for Robust LLM-Empowered Recommendation
by: Ning, Liangbo, et al.
Published: (2025)

MMHCL: Multi-Modal Hypergraph Contrastive Learning for Recommendation
by: Guo, Xu, et al.
Published: (2025)

Consistency and Discrepancy-Based Contrastive Tripartite Graph Learning for Recommendations
by: Guo, Linxin, et al.
Published: (2024)

Towards Graph Contrastive Learning: A Survey and Beyond
by: Ju, Wei, et al.
Published: (2024)

Leveraging Contrastive Learning for Few-shot Geolocation of Social Posts
by: Li, Menglin, et al.
Published: (2024)

Community-Aware Social Community Recommendation
by: Jiang, Runhao, et al.
Published: (2025)

Digital Voices of Survival: From Social Media Disclosures to Support Provisions for Domestic Violence Victims
by: Wang, Kanlun, et al.
Published: (2025)

Fine-Tuning Diffusion-Based Recommender Systems via Reinforcement Learning with Reward Function Optimization
by: Hou, Yu, et al.
Published: (2025)

A Survey on Extractive Knowledge Graph Summarization: Applications, Approaches, Evaluation, and Future Directions
by: Wang, Xiaxia, et al.
Published: (2024)

Public Profile Matters: A Scalable Integrated Approach to Recommend Citations in the Wild
by: Goyal, Karan, et al.
Published: (2026)

ReRec: Reasoning-Augmented LLM-based Recommendation Assistant via Reinforcement Fine-tuning
by: Huang, Jiani, et al.
Published: (2026)

Debiased Contrastive Representation Learning for Mitigating Dual Biases in Recommender Systems
by: Huang, Zhirong, et al.
Published: (2024)