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Adversarial Auto-encoder Domain Adaptation for Cold-start Recommendation with Positive and Negative Hypergraphs
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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/s11257-020-09282-4openalex-snapshot
Meta-User2Vec model for addressing the user and item cold-start problem in recommender systems
inferredcites →https://doi.org/10.1007/s11280-017-0494-5openalex-snapshot
A novel social network hybrid recommender system based on hypergraph topologic structure
inferredcites →https://doi.org/10.1016/j.knosys.2019.105155openalex-snapshot
Geometric Knowledge Embedding for unsupervised domain adaptation
inferredcites →https://doi.org/10.1016/j.patcog.2019.107165openalex-snapshot
Discriminative distribution alignment: A unified framework for heterogeneous domain adaptation
inferredcites →https://doi.org/10.1016/j.patcog.2020.107637openalex-snapshot
Hypergraph convolution and hypergraph attention
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00763openalex-snapshot
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition From a Domain Adaptation Perspective
inferredcites →https://doi.org/10.1109/cvpr42600.2020.01247openalex-snapshot
Gradually Vanishing Bridge for Adversarial Domain Adaptation
inferredcites →https://doi.org/10.1109/iccv48922.2021.01020openalex-snapshot
Adversarial Unsupervised Domain Adaptation with Conditional and Label Shift: Infer, Align and Iterate
inferredcites →https://doi.org/10.1109/mc.2009.263openalex-snapshot
Matrix Factorization Techniques for Recommender Systems
inferredcites →https://doi.org/10.1109/tcds.2018.2830388openalex-snapshot
Real-Time Myocontrol of a Human–Computer Interface by Paretic Muscles After Stroke
inferredcites →https://doi.org/10.1109/tcyb.2019.2905157openalex-snapshot
Making Sense of Spatio-Temporal Preserving Representations for EEG-Based Human Intention Recognition
inferredcites →https://doi.org/10.1109/tip.2021.3094137openalex-snapshot
Heterogeneous Domain Adaptation by Information Capturing and Distribution Matching
inferredcites →https://doi.org/10.1109/tkde.2019.2891530openalex-snapshot
Addressing the Item Cold-Start Problem by Attribute-Driven Active Learning
inferredcites →https://doi.org/10.1109/tkde.2020.3010215openalex-snapshot
Semantic Interpretation of Top-N Recommendations
inferredcites →https://doi.org/10.1109/tkde.2020.3014697openalex-snapshot
Iterative Refinement for Multi-source Visual Domain Adaptation
inferredcites →https://doi.org/10.1109/tnn.2010.2091281openalex-snapshot
Domain Adaptation via Transfer Component Analysis
inferredcites →https://doi.org/10.1109/tnnls.2019.2927224openalex-snapshot
A Semisupervised Recurrent Convolutional Attention Model for Human Activity Recognition
inferredcites →https://doi.org/10.1109/tpami.2013.167openalex-snapshot
Learning With Augmented Features for Supervised and Semi-Supervised Heterogeneous Domain Adaptation
inferredcites →https://doi.org/10.1109/tpami.2016.2615921openalex-snapshot
Optimal Transport for Domain Adaptation
inferredcites →https://doi.org/10.1109/tpami.2020.3039374openalex-snapshot
Hypergraph Learning: Methods and Practices
inferredcites →https://doi.org/10.1109/tpami.2022.3178156openalex-snapshot
Hypergraph Collaborative Network on Vertices and Hyperedges
inferredcites →https://doi.org/10.1145/2043932.2044016openalex-snapshot
Second workshop on information heterogeneity and fusion in recommender systems (HetRec2011)
inferredcites →https://doi.org/10.1145/2645710.2645751openalex-snapshot
Item cold-start recommendations
inferredcites →https://doi.org/10.1145/2645710.2645772openalex-snapshot
Social collaborative filtering for cold-start recommendations
inferredcites →https://doi.org/10.1145/2939672.2939746openalex-snapshot
Towards Conversational Recommender Systems
inferredcites →https://doi.org/10.1145/3108148openalex-snapshot
Local Representative-Based Matrix Factorization for Cold-Start Recommendation
inferredcites →https://doi.org/10.1145/3209978.3210002openalex-snapshot
Conversational Recommender System
inferredcites →https://doi.org/10.1145/3233773openalex-snapshot
A Deep Bayesian Tensor-Based System for Video Recommendation
inferredcites →https://doi.org/10.1145/3314578openalex-snapshot
Deep Item-based Collaborative Filtering for Top-N Recommendation
inferredcites →https://doi.org/10.1145/3331184.3331267openalex-snapshot
Neural Graph Collaborative Filtering
inferredcites →https://doi.org/10.1145/3340631.3394870openalex-snapshot
Wasserstein Collaborative Filtering for Item Cold-start Recommendation
inferredcites →https://doi.org/10.1145/3372154openalex-snapshot
Local Variational Feature-Based Similarity Models for Recommending Top- N New Items
inferredcites →https://doi.org/10.1145/3391229openalex-snapshot
Domain-attention Conditional Wasserstein Distance for Multi-source Domain Adaptation
inferredcites →https://doi.org/10.1145/3394171.3413628openalex-snapshot
How to Learn Item Representation for Cold-Start Multimedia Recommendation?
inferredcites →https://doi.org/10.1145/3397271.3401133openalex-snapshot
Next-item Recommendation with Sequential Hypergraphs
inferredcites →https://doi.org/10.1145/3397271.3401178openalex-snapshot
Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation
inferredcites →https://doi.org/10.1145/3397271.3401180openalex-snapshot
Towards Question-based Recommender Systems
inferredcites →https://doi.org/10.1145/3397271.3401243openalex-snapshot
Joint Training Capsule Network for Cold Start Recommendation
inferredcites →https://doi.org/10.1145/3400066openalex-snapshot
A Survey of Unsupervised Deep Domain Adaptation
inferredcites →https://doi.org/10.1145/3411754openalex-snapshot
Block-Aware Item Similarity Models for Top- N Recommendation
inferredcites →https://doi.org/10.1145/3430028openalex-snapshot
Effects of Personalized and Aggregate Top-N Recommendation Lists on User Preference Ratings
inferredcites →https://doi.org/10.1145/3442381.3449844openalex-snapshot
Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation
inferredcites →https://doi.org/10.1145/3442381.3449908openalex-snapshot
Task-adaptive Neural Process for User Cold-Start Recommendation
inferredcites →https://doi.org/10.1145/3446427openalex-snapshot
Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-start Users
inferredcites →https://doi.org/10.1145/3447548.3467110openalex-snapshot
A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps
inferredcites →https://doi.org/10.1145/3453154openalex-snapshot
A Survey on Conversational Recommender Systems
inferredcites →https://doi.org/10.1145/3459637.3482493openalex-snapshot
Cross-Market Product Recommendation
inferredcites →https://doi.org/10.1145/3460865openalex-snapshot
Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task Correlation Information for Label Aggregation in Crowdsourcing
inferredcites →https://doi.org/10.1145/3465401openalex-snapshot
A Survey on Session-based Recommender Systems
inferredcites →https://doi.org/10.1145/3466641openalex-snapshot
Multi-Graph Heterogeneous Interaction Fusion for Social Recommendation
inferredcites →https://doi.org/10.1145/3466754openalex-snapshot
Direction-Aware User Recommendation Based on Asymmetric Network Embedding
inferredcites →https://doi.org/10.1145/3469856openalex-snapshot
Knowledge Preserving and Distribution Alignment for Heterogeneous Domain Adaptation
inferredcites →https://doi.org/10.1145/3469887openalex-snapshot
LegalGNN: Legal Information Enhanced Graph Neural Network for Recommendation
inferredcites →https://doi.org/10.1145/3474085.3475665openalex-snapshot
Contrastive Learning for Cold-Start Recommendation
inferredcites →https://doi.org/10.1145/3494567openalex-snapshot
Hypergraph Convolution on Nodes-Hyperedges Network for Semi-Supervised Node Classification
inferredcites →https://doi.org/10.1609/aaai.v31i1.10758openalex-snapshot
Low-Rank Linear Cold-Start Recommendation from Social Data
inferredcites →https://doi.org/10.1609/aaai.v33i01.33014189openalex-snapshot
From Zero-Shot Learning to Cold-Start Recommendation
inferredcites →https://doi.org/10.1609/aaai.v34i04.6123openalex-snapshot
Adversarial Domain Adaptation with Domain Mixup
inferredcites →https://doi.org/10.24963/ijcai.2021/222openalex-snapshot
Preference-Adaptive Meta-Learning for Cold-Start Recommendation
inferredcites →https://doi.org/10.3390/e22020221openalex-snapshot
On a Generalization of the Jensen–Shannon Divergence and the Jensen–Shannon Centroid
inferredcites →https://doi.org/10.4230/lipics.cp.2025.31openalex-snapshot
HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case
inferredcites →https://doi.org/10.48550/arxiv.1701.06538openalex-snapshot
Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
inferredcites →https://doi.org/10.48550/arxiv.1809.00366openalex-snapshot
Cold-start recommendations in Collective Matrix Factorization
inferredcites →https://doi.org/10.48550/arxiv.2103.08733openalex-snapshot
Category Aware Explainable Conversational Recommendation
inferredcites →https://doi.org/10.5281/zenodo.17754506openalex-snapshot
Abstract Functional Language Logic: A Competitive Mixture of Experts Architecture for Paradox-Free Reasoning and Adaptive Intelligence
inferredcites →https://doi.org/10.7551/mitpress/7503.003.0205openalex-snapshot
Learning with Hypergraphs: Clustering, Classification, and Embedding
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/widm.70068openalex-snapshot
A Review of Deep Learning and Large Language Models for Cold Start Problem in Recommender Systems
inferred← citeshttps://doi.org/10.1007/s10844-024-00913-5openalex-snapshot
Meta learning-based relevant user identification and aggregation for cold-start recommendation
inferred← citeshttps://doi.org/10.1016/j.inffus.2025.103127openalex-snapshot
Rethinking multi-level information fusion in temporal graphs: Pre-training then distilling for better embedding
inferred← citeshttps://doi.org/10.1016/j.inffus.2025.103168openalex-snapshot
PEARL: A dual-layer graph learning for multimodal recommendation
inferred← citeshttps://doi.org/10.1016/j.ipm.2024.103790openalex-snapshot
Simplices-based higher-order enhancement graph neural network for multi-behavior recommendation
inferred← citeshttps://doi.org/10.1016/j.neucom.2024.127989openalex-snapshot
AHCL-TC: Adaptive Hypergraph Contrastive Learning Networks for Text Classification
inferred← citeshttps://doi.org/10.1049/csy2.12095openalex-snapshot
Deep feature fusion‐based stacked denoising autoencoder for tag recommendation systems
inferred← citeshttps://doi.org/10.1080/03610926.2026.2708271openalex-snapshot
Improved Bi-LSTM based recommendation system for cold start items with proposed latent factor-based feature
inferred← citeshttps://doi.org/10.1088/1741-2552/accd22openalex-snapshot
Transferable multi-modal fusion in knee angles and gait phases for their continuous prediction
inferred← citeshttps://doi.org/10.1109/tbdata.2025.3533908openalex-snapshot
A Multiplex Hypergraph Attribute-Based Graph Collaborative Filtering for Cold-Start POI Recommendation
inferred← citeshttps://doi.org/10.1109/tpami.2023.3323624openalex-snapshot
Simplicial Complex Neural Networks
inferred← citeshttps://doi.org/10.1109/tpami.2026.3682385openalex-snapshot
Local and High-Order Consistency Coding and Adaptation for Cross-Hypergraph Node Classification
inferred← citeshttps://doi.org/10.1109/tsc.2023.3237638openalex-snapshot
Cold-Start Next-Item Recommendation by User-Item Matching and Auto-Encoders
inferred← citeshttps://doi.org/10.1109/tsc.2023.3334241openalex-snapshot
Feature Matching Machine for Cold-Start Recommendation
inferred← citeshttps://doi.org/10.1109/wi-iat62293.2024.00011openalex-snapshot
Cold-Start Service Recommendation Based on a Multi-Strategy Pre-Training Model
inferred← citeshttps://doi.org/10.1145/3632524openalex-snapshot
Cross-domain Recommendation via Dual Adversarial Adaptation
inferred← citeshttps://doi.org/10.1145/3653015openalex-snapshot
DHyper: A Recurrent Dual Hypergraph Neural Network for Event Prediction in Temporal Knowledge Graphs
inferred← citeshttps://doi.org/10.1145/3654804openalex-snapshot
Cold-Start Recommendation based on Knowledge Graph and Meta-Learning under Positive and Negative sampling
inferred← citeshttps://doi.org/10.1145/3659947openalex-snapshot
M 3 Rec: A Context-Aware Offline Meta-Level Model-Based Reinforcement Learning Approach for Cold-Start Recommendation
inferred← citeshttps://doi.org/10.1145/3664651openalex-snapshot
MvStHgL: Multi-View Hypergraph Learning with Spatial-Temporal Periodic Interests for Next POI Recommendation
inferred← citeshttps://doi.org/10.1145/3690382openalex-snapshot
MF-GSLAE: A Multi-Factor User Representation Pre-Training Framework for Dual-Target Cross-Domain Recommendation
inferred← citeshttps://doi.org/10.1145/3721982openalex-snapshot
DHFM: Diversity Enhanced Hypergraph Factorization Machines for Feature Interaction Modeling
inferred← citeshttps://doi.org/10.1145/3745020openalex-snapshot
Unified Heterogeneous Hypergraph Construction for Incomplete Multimedia Recommendation
inferred← citeshttps://doi.org/10.1145/3746637openalex-snapshot
Cold-start User Recommendation via Heterogeneous Domain Adaptation
inferred← citeshttps://doi.org/10.1145/3768160openalex-snapshot
Interest-Disentangled Contrastive Sample Generation for Recommendation
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