Learning Image and User Features for Recommendation in Social Networks

No abstract is available for this paper.

• Publication year

  2015

• Venue

  IEEE International Conference on Computer Vision

• Publication date

  2015-12-07

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1109/ICCV.2015.486
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Collaborative feature learning from social media

  2015cited by this paper
• DeepWalk: online learning of social representations

  2014cited by this paper
• Item cold-start recommendations: learning local collective embeddings

  2014cited by this paper
• Caffe: Convolutional Architecture for Fast Feature Embedding

  2014cited by this paper
• DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition

  2013cited by this paper
• Sharing the Loves: Understanding the How and Why of Online Content Curation

  2013cited by this paper
• Deep content-based music recommendation

  2013cited by this paper
• Distributed Representations of Words and Phrases and their Compositionality

  2013cited by this paper
• ImageNet classification with deep convolutional neural networks

  2012cited by this paper
• Large Scale Distributed Deep Networks

  2012cited by this paper
• Collaborative topic modeling for recommending scientific articles

  2011cited by this paper
• Enhancing Computer Vision Using the Collective Intelligence of Social Media

  2011cited by this paper
• User-Based Collaborative-Filtering Recommendation Algorithms on Hadoop

  2010cited by this paper
• Relational learning via latent social dimensions

  2009cited by this paper
• A Survey of Collaborative Filtering Techniques

  2009cited by this paper
• ImageNet: A large-scale hierarchical image database

  2009cited by this paper
• Matrix Factorization Techniques for Recommender Systems

  2009cited by this paper
• Collaborative Filtering for Implicit Feedback Datasets

  2008influential reference
• Probabilistic Matrix Factorization

  2007cited by this paper
• Content-Based Recommendation Systems

  2007influential reference
• Learning Deep Architectures for AI

  2007cited by this paper
• Modularity and community structure in networks.

  2006cited by this paper
• Histograms of oriented gradients for human detection

  2005cited by this paper
• Hierarchical Probabilistic Neural Network Language Model

  2005cited by this paper
• Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions

  2005cited by this paper
• Finding community structure in very large networks.

  2004cited by this paper
• Distinctive Image Features from Scale-Invariant Keypoints

  2004cited by this paper
• Item-based top-N recommendation algorithms

  2004influential reference
• Eigentaste: A Constant Time Collaborative Filtering Algorithm

  2001cited by this paper
• Application of Dimensionality Reduction in Recommender System - A Case Study

  2000cited by this paper
• On the momentum term in gradient descent learning algorithms

  1999cited by this paper
• Fab: content-based, collaborative recommendation

  1997cited by this paper

• Rating-Aware Homogeneous Review Graphs and User Likes/Dislikes Differentiation for Effective Recommendations

  2025cites this paper
• Learning Binarized Representations with Pseudo-positive Sample Enhancement for Efficient Graph Collaborative Filtering

  2025cites this paper
• Personalized Generation In Large Model Era: A Survey

  2025cites this paper
• Learning to Unlearn for Bayesian Personalized Ranking via Influence Function

  2025cites this paper
• Ordinal Embedding for Collaborative Filtering: A Unified Regularization for Enhanced Generalization and Interpretability

  2025cites this paper
• DVIB: Towards Robust Multimodal Recommender Systems via Variational Information Bottleneck Distillation

  2025cites this paper
• NLGCL: Naturally Existing Neighbor Layers Graph Contrastive Learning for Recommendation

  2025cites this paper
• DiffCL: A Diffusion-Based Contrastive Learning Framework With Semantic Alignment for Multimodal Recommendations

  2025cites this paper
• Diversity-Augmented Negative Sampling for Implicit Collaborative Filtering

  2025cites this paper
• Invariant Representation Learning in Multimedia Recommendation with Modality Alignment and Model Fusion

  2025cites this paper
• Causality-aware Graph Aggregation Weight Estimator for Popularity Debiasing in Top-K Recommendation

  2025cites this paper
• M^2VAE: Multi-Modal Multi-View Variational Autoencoder for Cold-start Item Recommendation

  2025cites this paper
• ChainPIM: A ReRAM-Based Processing-in-Memory Accelerator for HGNNs via Chain Structure

  2025cites this paper
• MIEB: Massive Image Embedding Benchmark

  2025cites this paper
• General Item Representation Learning for Cold-start Content Recommendations

  2024cites this paper
• Exploring Coresets for Efficient Training and Consistent Evaluation of Recommender Systems

  2024cites this paper
• PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning

  2024cites this paper
• A social image recommendation system based on deep reinforcement learning

  2024cites this paper
• To Explain or Not To Explain: An Empirical Investigation of AI-based Recommendations on Social Media Platforms

  2024cites this paper
• A Survey on Recent Random Walk-based Methods for Embedding Knowledge Graphs

  2024cites this paper
• Navigating the Future of Federated Recommendation Systems with Foundation Models

  2024cites this paper
• MARec: Metadata Alignment for cold-start Recommendation

  2024cites this paper
• Shopping Trajectory Representation Learning with Pre-training for E-commerce Customer Understanding and Recommendation

  2024cites this paper
• Unifying Graph Convolution and Contrastive Learning in Collaborative Filtering

  2024cites this paper
• Towards Robust Recommendation: A Review and an Adversarial Robustness Evaluation Library

  2024cites this paper
• Towards Efficient Communication and Secure Federated Recommendation System via Low-rank Training

  2024cites this paper
• GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems

  2024cites this paper
• M3-InvRL: Multimedia Model Merging Invariant Representation Learning for Recommendation

  2024cites this paper
• Multimodality Invariant Learning for Multimedia-Based New Item Recommendation

  2024influential citation
• Improving Image Aesthetic Assessment via Multiple Image Joint Learning

  2024cites this paper
• Overcoming Diverse Undesired Effects in Recommender Systems: A Deontological Approach

  2024cites this paper
• Large-scale benchmarks for multimodal recommendation with Ducho

  2024cites this paper
• Applying self-attention model to learn both Empirical Risk Minimization and Invariant Risk Minimization for multimedia recommendation

  2024cites this paper
• Computer Vision, Human Likeness, and Problematic Behaviors: Distinguishing Stereotypes from Social Norms

  2023cites this paper
• MetaNMP: Leveraging Cartesian-Like Product to Accelerate HGNNs with Near-Memory Processing

  2023cites this paper
• Denoise to Protect: A Method to Robustify Visual Recommenders from Adversaries

  2023cites this paper
• WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering

  2023influential citation
• Multimodal heterogeneous graph convolutional network for image recommendation

  2023cites this paper
• Ranking-based contrastive loss for recommendation systems

  2023cites this paper
• Multimodal Graph Contrastive Learning for Multimedia-Based Recommendation

  2023cites this paper
• Enhanced Recommendation Systems: A Survey on the Impact of Auxiliary Information

  2023cites this paper
• Study of AI-Driven Fashion Recommender Systems

  2023cites this paper
• MAGNET: Multi-Interest Attentive Group Recommender with Deep Reinforcement Learning

  2023cites this paper
• Improved Neural Collaborative Filtering Recommendation Method based on Multi-Head Attention and Feature Fusion

  2023cites this paper
• FedDyn: A dynamic and efficient federated distillation approach on Recommender System

  2023cites this paper
• An Image Dataset for Benchmarking Recommender Systems with Raw Pixels

  2023cites this paper
• Exploring the Landscape of Recommender Systems Evaluation: Practices and Perspectives

  2023cites this paper
• GoRec: A Generative Cold-start Recommendation Framework

  2023cites this paper
• Social Recommendation for Social Networks Using Deep Learning Approach: A Systematic Review, Taxonomy, Issues, and Future Directions

  2023cites this paper
• Equivariant Learning for Out-of-Distribution Cold-start Recommendation

  2023cites this paper
• Temporally and Distributionally Robust Optimization for Cold-start Recommendation

  2023cites this paper
• NineRec: A Benchmark Dataset Suite for Evaluating Transferable Recommendation

  2023cites this paper
• Towards a Health Recommender Tool using Machine Learning Approaches: A survey and a new idea

  2023cites this paper
• Adaptive Multi-Modalities Fusion in Sequential Recommendation Systems

  2023cites this paper
• Cross-Attribute Matrix Factorization Model with Shared User Embedding

  2023influential citation
• Enhancing neural collaborative filtering using hybrid feature selection for recommendation

  2023cites this paper
• Cold-start Bundle Recommendation via Popularity-based Coalescence and Curriculum Heating

  2023cites this paper
• HS-GCN: Hamming Spatial Graph Convolutional Networks for Recommendation

  2023cites this paper
• More Is Less: When Do Recommenders Underperform for Data-rich Users?

  2023cites this paper
• Topological Representation Learning for E-commerce Shopping Behaviors

  2023cites this paper
• A survey of graph neural network based recommendation in social networks

  2023cites this paper
• Path-Specific Counterfactual Fairness for Recommender Systems

  2023cites this paper
• MSR: An Efficient Model for Personalized Movie Recommendation Based on Attention and Gating Mechanism

  2023cites this paper
• Trans-Trip: Translation-based embedding with Triplets for Heterogeneous Graphs

  2023cites this paper
• Multimodal collaborative graph for image recommendation

  2022cites this paper
• Social Media Recommender Systems (SMRS): A Bibliometric Analysis Study 2000–2021

  2022cites this paper
• AICF: Attentional Item-interaction Collaborative Filtering

  2022cites this paper
• Deep Learning for Visual-Features Extraction Based Personalized User Modeling

  2022cites this paper
• Revisiting Negative Sampling vs. Non-sampling in Implicit Recommendation

  2022cites this paper
• Design and Implementation of Music Recommendation System Based on Big Data Platform

  2022cites this paper
• Analyzing and improving stability of matrix factorization for recommender systems

  2022cites this paper
• Dockerized Knowledge-Oriented Multi-modal Social Event Detection System

  2022cites this paper
• A novel meta-graph-based attention model for event recommendation

  2022cites this paper
• Personalized recommendation: From clothing to academic

  2022cites this paper
• Recommender System for the Efficient Treatment of COVID-19 Using a Convolutional Neural Network Model and Image Similarity

  2022cites this paper
• Learning edge importance in bipartite graph-based recommendations

  2022cites this paper
• Invariant Representation Learning for Multimedia Recommendation

  2022cites this paper
• CFFNN: Cross Feature Fusion Neural Network for Collaborative Filtering

  2022cites this paper
• Visual and buying sequence features-based product image recommendation using optimization based deep residual network.

  2022cites this paper
• Implementation of Digitalized Technologies for Fashion Industry 4.0: Opportunities and Challenges

  2022cites this paper
• Approximation Analysis of CNNs from a Feature Extraction View

  2022cites this paper
• Image recommender system based on compact convolutional transformer image style recognition

  2022cites this paper
• Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation

  2022cites this paper
• A Simple and Scalable Tensor Completion Algorithm via Latent Invariant Constraint for Recommendation System

  2022cites this paper
• Modeling and Applying Implicit Dormant Features for Recommendation via Clustering and Deep Factorization

  2022cites this paper
• Simple and Efficient Heterogeneous Graph Neural Network

  2022cites this paper
• Representation Learning: Recommendation With Knowledge Graph via Triple-Autoencoder

  2022cites this paper
• The Research on information recommendation model based on an improved deep learning Model

  2021influential citation
• Attention, please! A survey of neural attention models in deep learning

  2021cites this paper
• Towards Faster Deep Collaborative Filtering via Hierarchical Decision Networks

  2021cites this paper
• Improved Collaborative Filtering Recommendation Model

  2021influential citation
• Neural architectures for faster deep learning-based collaborative filtering

  2021cites this paper
• Joint Learning of Image Aesthetic Quality Assessment and Semantic Recognition Based on Feature Enhancement

  2021cites this paper
• LECF: recommendation via learnable edge collaborative filtering

  2021cites this paper
• An image recommendation technique based on fuzzy inference system

  2021cites this paper
• Revisiting the Performance of iALS on Item Recommendation Benchmarks

  2021influential citation
• TDD-BPR: The topic diversity discovering on Bayesian personalized ranking for personalized recommender system

  2021cites this paper
• Graph sparsification with graph convolutional networks

  2021cites this paper
• Can "Conscious Data Contribution" Help Users to Exert "Data Leverage" Against Technology Companies?

  2021cites this paper
• Path-based Deep Network for Candidate Item Matching in Recommenders

  2021cites this paper