Crafting Tomorrow: The Influence of Design Choices on Fresh Content in Social Media Recommendation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Saket, Srijan, Agarwal, Mohit, Mehrotra, Rishabh
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval Machine Learning Social and Information Networks
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Survey of Graph Neural Networks for Social Recommender Systems
by: Sharma, Kartik, et al.
Published: (2022)

FINEST: Stabilizing Recommendations by Rank-Preserving Fine-Tuning
by: Oh, Sejoon, et al.
Published: (2024)

Adversarial Text Rewriting for Text-aware Recommender Systems
by: Oh, Sejoon, et al.
Published: (2024)

SocialRec: User Activity Based Post Weighted Dynamic Personalized Post Recommendation System in Social Media
by: Hossain, Ismail, et al.
Published: (2024)

Learning Social Graph for Inactive User Recommendation
by: Liu, Nian, et al.
Published: (2024)

Monitoring the Evolution of Behavioural Embeddings in Social Media Recommendation
by: Saket, Srijan, et al.
Published: (2023)

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

EVOLVE-X: Embedding Fusion and Language Prompting for User Evolution Forecasting on Social Media
by: Hossain, Ismail, et al.
Published: (2025)

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

EVOLVE: Predicting User Evolution and Network Dynamics in Social Media Using Fine-Tuned GPT-like Model
by: Hossain, Ismail, et al.
Published: (2024)

Directed Criteria Citation Recommendation and Ranking Through Link Prediction
by: Watson, William, et al.
Published: (2024)

Heterophily-Aware Fair Recommendation using Graph Convolutional Networks
by: Gholinejad, Nemat, et al.
Published: (2024)

Contributions to Representation Learning with Graph Autoencoders and Applications to Music Recommendation
by: Salha-Galvan, Guillaume
Published: (2022)

Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists
by: Baumann, Joachim, et al.
Published: (2024)

Towards Unified Modeling for Positive and Negative Preferences in Sign-Aware Recommendation
by: Liu, Yuting, et al.
Published: (2024)

FedHCDR: Federated Cross-Domain Recommendation with Hypergraph Signal Decoupling
by: Zhang, Hongyu, et al.
Published: (2024)

Separated Contrastive Learning for Matching in Cross-domain Recommendation with Curriculum Scheduling
by: Chang, Heng, et al.
Published: (2025)

Dynamic Graph with Similarity-Aware Attention Graph Neural Network for Recommender Systems
by: Senapati, Aadarsh, et al.
Published: (2026)

The Influence of Text Variation on User Engagement in Cross-Platform Content Sharing
by: Hu, Yibo, et al.
Published: (2025)

With a Little Help From My Friends: Collective Manipulation in Risk-Controlling Recommender Systems
by: De Toni, Giovanni, et al.
Published: (2026)

FewUser: Few-Shot Social User Geolocation via Contrastive Learning
by: Li, Menglin, et al.
Published: (2024)

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

Catalyzing Social Interactions in Mixed Reality using ML Recommendation Systems
by: Srivastava, Sparsh, et al.
Published: (2024)

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

A Simple Model to Estimate Sharing Effects in Social Networks
by: Jeunen, Olivier
Published: (2024)

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

Influence Maximization via Graph Neural Bandits
by: Feng, Yuting, et al.
Published: (2024)

Turbo-CF: Matrix Decomposition-Free Graph Filtering for Fast Recommendation
by: Park, Jin-Duk, et al.
Published: (2024)

Training-free Adjustable Polynomial Graph Filtering for Ultra-fast Multimodal Recommendation
by: Roh, Yu-Seung, et al.
Published: (2025)

Criteria-Aware Graph Filtering: Extremely Fast Yet Accurate Multi-Criteria Recommendation
by: Park, Jin-Duk, et al.
Published: (2025)

Hypergraph Diffusion for High-Order Recommender Systems
by: Sakong, Darnbi, et al.
Published: (2025)

From Graphs to Hypergraphs: Hypergraph Projection and its Remediation
by: Wang, Yanbang, et al.
Published: (2024)

THeGCN: Temporal Heterophilic Graph Convolutional Network
by: Yan, Yuchen, et al.
Published: (2024)

A multi-theoretical kernel-based approach to social network-based recommendation
by: Li, Xin, et al.
Published: (2024)

Ads Supply Personalization via Doubly Robust Learning
by: Shi, Wei, et al.
Published: (2024)

Enhancing Node Representations for Real-World Complex Networks with Topological Augmentation
by: Zhao, Xiangyu, et al.
Published: (2024)

Do We Trust What They Say or What They Do? A Multimodal User Embedding Provides Personalized Explanations
by: Ren, Zhicheng, et al.
Published: (2024)

Extracting the U.S. building types from OpenStreetMap data
by: de Arruda, Henrique F., et al.
Published: (2024)

GNNAnatomy: Rethinking Model-Level Explanations for Graph Neural Networks
by: Lu, Hsiao-Ying, et al.
Published: (2024)

Longitudinal Modularity, a Modularity for Link Streams
by: Brabant, Victor, et al.
Published: (2024)