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Feature-Level Attentive ICF for Recommendation

https://doi.org/10.1145/3490477
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-06605-9_4openalex-snapshot
HOSLIM: Higher-Order Sparse LInear Method for Top-N Recommender Systems
inferredcites →https://doi.org/10.1016/j.elerap.2021.101071openalex-snapshot
Hierarchical attentive knowledge graph embedding for personalized recommendation
inferredcites →https://doi.org/10.1016/j.ins.2019.06.021openalex-snapshot
Locally differentially private item-based collaborative filtering
inferredcites →https://doi.org/10.1109/dsaa.2019.00015openalex-snapshot
MARS: Memory Attention-Aware Recommender System
inferredcites →https://doi.org/10.1109/icdm.2008.16openalex-snapshot
One-Class Collaborative Filtering
inferredcites →https://doi.org/10.1109/icdm.2008.22openalex-snapshot
Collaborative Filtering for Implicit Feedback Datasets
inferredcites →https://doi.org/10.1109/icdm.2010.127openalex-snapshot
Factorization Machines
inferredcites →https://doi.org/10.1109/icdm.2011.134openalex-snapshot
SLIM: Sparse Linear Methods for Top-N Recommender Systems
inferredcites →https://doi.org/10.1109/icdm.2018.00035openalex-snapshot
Self-Attentive Sequential Recommendation
inferredcites →https://doi.org/10.1109/mc.2009.263openalex-snapshot
Matrix Factorization Techniques for Recommender Systems
inferredcites →https://doi.org/10.1109/mic.2017.72openalex-snapshot
Two Decades of Recommender Systems at Amazon.com
inferredcites →https://doi.org/10.1109/tkde.2018.2831682openalex-snapshot
NAIS: Neural Attentive Item Similarity Model for Recommendation
inferredcites →https://doi.org/10.1109/tkde.2018.2833443openalex-snapshot
Heterogeneous Information Network Embedding for Recommendation
inferredcites →https://doi.org/10.1145/1401890.1401944openalex-snapshot
Factorization meets the neighborhood
inferredcites →https://doi.org/10.1145/1644873.1644874openalex-snapshot
Factor in the neighbors
inferredcites →https://doi.org/10.1145/2487575.2487589openalex-snapshot
FISM
inferredcites →https://doi.org/10.1145/2507157.2507163openalex-snapshot
Hidden factors and hidden topics
inferredcites →https://doi.org/10.1145/2835776.2835837openalex-snapshot
Collaborative Denoising Auto-Encoders for Top-N Recommender Systems
inferredcites →https://doi.org/10.1145/2911451.2911502openalex-snapshot
Discrete Collaborative Filtering
inferredcites →https://doi.org/10.1145/2959100openalex-snapshot
Proceedings of the 10th ACM Conference on Recommender Systems
inferredcites →https://doi.org/10.1145/2959100.2959185openalex-snapshot
Local Item-Item Models For Top-N Recommendation
inferredcites →https://doi.org/10.1145/2959100.2959190openalex-snapshot
Deep Neural Networks for YouTube Recommendations
inferredcites →https://doi.org/10.1145/3038912.3052569openalex-snapshot
Neural Collaborative Filtering
inferredcites →https://doi.org/10.1145/3077136.3080797openalex-snapshot
Attentive Collaborative Filtering
inferredcites →https://doi.org/10.1145/312624.312682openalex-snapshot
An algorithmic framework for performing collaborative filtering
inferredcites →https://doi.org/10.1145/3132847.3132926openalex-snapshot
Neural Attentive Session-based Recommendation
inferredcites →https://doi.org/10.1145/3178876.3186070openalex-snapshot
Neural Attentional Rating Regression with Review-level Explanations
inferredcites →https://doi.org/10.1145/3178876.3186145openalex-snapshot
Aspect-Aware Latent Factor Model
inferredcites →https://doi.org/10.1145/3178876.3186183openalex-snapshot
Pixie
inferredcites →https://doi.org/10.1145/3209978.3209981openalex-snapshot
Adversarial Personalized Ranking for Recommendation
inferredcites →https://doi.org/10.1145/3209978.3209991openalex-snapshot
Collaborative Memory Network for Recommendation Systems
inferredcites →https://doi.org/10.1145/3219819.3219823openalex-snapshot
Deep Interest Network for Click-Through Rate Prediction
inferredcites →https://doi.org/10.1145/3219819.3219890openalex-snapshot
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
inferredcites →https://doi.org/10.1145/3219819.3219965openalex-snapshot
Leveraging Meta-path based Context for Top- N Recommendation with A Neural Co-Attention Model
inferredcites →https://doi.org/10.1145/3219819.3220112openalex-snapshot
Local Latent Space Models for Top-N Recommendation
inferredcites →https://doi.org/10.1145/3269206.3271810openalex-snapshot
ANR
inferredcites →https://doi.org/10.1145/3291060openalex-snapshot
MMALFM
inferredcites →https://doi.org/10.1145/3292500.3330989openalex-snapshot
KGAT
inferredcites →https://doi.org/10.1145/3298988openalex-snapshot
A Context-Aware User-Item Representation Learning for Item Recommendation
inferredcites →https://doi.org/10.1145/3309546openalex-snapshot
Attentive Aspect Modeling for Review-Aware Recommendation
inferredcites →https://doi.org/10.1145/3312738openalex-snapshot
Exploring High-Order User Preference on the Knowledge Graph for Recommender Systems
inferredcites →https://doi.org/10.1145/3314578openalex-snapshot
Deep Item-based Collaborative Filtering for Top-N Recommendation
inferredcites →https://doi.org/10.1145/3323873.3326592openalex-snapshot
Hierarchical Attention based Neural Network for Explainable Recommendation
inferredcites →https://doi.org/10.1145/3331184.3331254openalex-snapshot
Personalized Fashion Recommendation with Visual Explanations based on Multimodal Attention Network
inferredcites →https://doi.org/10.1145/3331184.3331267openalex-snapshot
Neural Graph Collaborative Filtering
inferredcites →https://doi.org/10.1145/3331184.3331371openalex-snapshot
NRPA
inferredcites →https://doi.org/10.1145/3340531.3411996openalex-snapshot
DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation
inferredcites →https://doi.org/10.1145/3343031.3350858openalex-snapshot
Personalized Hashtag Recommendation for Micro-videos
inferredcites →https://doi.org/10.1145/3343031.3350953openalex-snapshot
User Diverse Preference Modeling by Multimodal Attentive Metric Learning
inferredcites →https://doi.org/10.1145/3368926.3369682openalex-snapshot
Session-Based Recommendation with Self-Attention
inferredcites →https://doi.org/10.1145/3397271.3401063openalex-snapshot
LightGCN
inferredcites →https://doi.org/10.1145/3397271.3401137openalex-snapshot
Disentangled Graph Collaborative Filtering
inferredcites →https://doi.org/10.1145/3397271.3401249openalex-snapshot
Neural Unified Review Recommendation with Cross Attention
inferredcites →https://doi.org/10.1145/3442381.3449986openalex-snapshot
Interest-aware Message-Passing GCN for Recommendation
inferredcites →https://doi.org/10.1145/3465401openalex-snapshot
A Survey on Session-based Recommender Systems
inferredcites →https://doi.org/10.1145/371920.372071openalex-snapshot
Item-based collaborative filtering recommendation algorithms
inferredcites →https://doi.org/10.1145/582415.582418openalex-snapshot
Cumulated gain-based evaluation of IR techniques
inferredcites →https://doi.org/10.1145/963770.963776openalex-snapshot
Item-based top- N recommendation algorithms
inferredcites →https://doi.org/10.1155/2009/421425openalex-snapshot
A Survey of Collaborative Filtering Techniques
inferredcites →https://doi.org/10.1609/aaai.v34i04.6094openalex-snapshot
Multi-Component Graph Convolutional Collaborative Filtering
inferredcites →https://doi.org/10.18653/v1/2022.naacl-mainopenalex-snapshot
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
inferredcites →https://doi.org/10.18653/v1/n19-1180openalex-snapshot
Hierarchical User and Item Representation with Three-Tier Attention for Recommendation
inferredcites →https://doi.org/10.48550/arxiv.2003.09086openalex-snapshot
A^2-GCN: An Attribute-aware Attentive GCN Model for Recommendation
inferredcites →https://doi.org/10.5555/1953048.2021068openalex-snapshot
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-981-96-6588-4_27openalex-snapshot
MUR: Multimodal Unified Refinement for Multimedia Recommendation
inferred← citeshttps://doi.org/10.1007/s00521-023-08703-wopenalex-snapshot
CoGCN: co-occurring item-aware GCN for recommendation
inferred← citeshttps://doi.org/10.1007/s11063-024-11446-xopenalex-snapshot
Hybrid Prompt Recommendation Explanation Generation combined with Graph Encoder
inferred← citeshttps://doi.org/10.1016/j.chaos.2023.114109openalex-snapshot
Enhanced fractional prediction scheme for effective matrix factorization in chaotic feedback recommender systems
inferred← citeshttps://doi.org/10.1016/j.ejor.2024.01.042openalex-snapshot
Review-based recommendation under preference uncertainty: An asymmetric deep learning framework
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.121687openalex-snapshot
Multi-view social recommendation via matrix factorization with sub-linear convergence rate
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.121773openalex-snapshot
Target-driven user preference transferring recommendation
inferred← citeshttps://doi.org/10.1016/j.ins.2024.120362openalex-snapshot
MAInt: A multi-task learning model with automatic feature interaction learning for personalized recommendations
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.130302openalex-snapshot
Feature-level attention network with group-aware interest modeling for sequential recommendation
inferred← citeshttps://doi.org/10.1109/confluence60223.2024.10463218openalex-snapshot
Dynamics of Cyberbullying on Twitter: ML Detection Models and the Catalytic role of Tweets Engagement Metrics
inferred← citeshttps://doi.org/10.1109/csit61576.2023.10324086openalex-snapshot
Information technology for movie recommendations using neural network methods
inferred← citeshttps://doi.org/10.1109/tkde.2025.3544081openalex-snapshot
Dual-Channel Multiplex Graph Neural Networks for Recommendation
inferred← citeshttps://doi.org/10.1109/tmm.2022.3217449openalex-snapshot
Disentangled Multimodal Representation Learning for Recommendation
inferred← citeshttps://doi.org/10.1145/3477495.3532044openalex-snapshot
Privacy-Preserving Synthetic Data Generation for Recommendation Systems
inferred← citeshttps://doi.org/10.1145/3477495.3532075openalex-snapshot
User-controllable Recommendation Against Filter Bubbles
inferred← citeshttps://doi.org/10.1145/3534678.3539130openalex-snapshot
Feature-aware Diversified Re-ranking with Disentangled Representations for Relevant Recommendation
inferred← citeshttps://doi.org/10.1145/3543507.3583439openalex-snapshot
Multi-Behavior Recommendation with Cascading Graph Convolution Networks
inferred← citeshttps://doi.org/10.1145/3576925openalex-snapshot
Multi-level Attention-based Domain Disentanglement for BCDR
inferred← citeshttps://doi.org/10.1145/3620669openalex-snapshot
Semantic Collaborative Learning for Cross-Modal Moment Localization
inferred← citeshttps://doi.org/10.1145/3771276openalex-snapshot
Beyond Texts: Incorporating Co-occurrences into the Review-based Conversation Recommendation Systems
inferred← citeshttps://doi.org/10.3233/jifs-222411openalex-snapshot
Dual attentive graph convolutional networks for cross-domain recommendation
inferred← citeshttps://doi.org/10.32657/10356/179298openalex-snapshot
Enhancing recommender systems via data augmentation
inferred← citeshttps://doi.org/10.3390/app122111256openalex-snapshot
Issues and Solutions in Deep Learning-Enabled Recommendation Systems within the E-Commerce Field
inferred← citeshttps://doi.org/10.3390/app13158700openalex-snapshot
A New Model for Emotion-Driven Behavior Extraction from Text
inferred← citeshttps://doi.org/10.3390/electronics12163396openalex-snapshot
Multi-Task Learning and Gender-Aware Fashion Recommendation System Using Deep Learning
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