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Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks

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What this work says

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

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An introduction to ROC analysis

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A Perspective View and Survey of Meta-Learning

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Neural Style Transfer via Meta Networks

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Factorization Machines

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Product-Based Neural Networks for User Response Prediction

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Matrix Factorization Techniques for Recommender Systems

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Factorizing personalized Markov chains for next-basket recommendation

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Personalised rating prediction for new users using latent factor models

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Deep Neural Networks for YouTube Recommendations

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Wide & Deep Learning for Recommender Systems

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Deep & Cross Network for Ad Click Predictions

inferredcites →https://doi.org/10.1145/3159652.3159656openalex-snapshot

Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding

inferredcites →https://doi.org/10.1145/3219819.3219823openalex-snapshot

Deep Interest Network for Click-Through Rate Prediction

inferredcites →https://doi.org/10.1145/3219819.3220023openalex-snapshot

xDeepFM

inferredcites →https://doi.org/10.1145/3269206.3271739openalex-snapshot

RippleNet

inferredcites →https://doi.org/10.1145/3292500.3330707openalex-snapshot

Real-time Attention Based Look-alike Model for Recommender System

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Sequential Scenario-Specific Meta Learner for Online Recommendation

inferredcites →https://doi.org/10.1145/3292500.3330859openalex-snapshot

MeLU

inferredcites →https://doi.org/10.1145/3292500.3330959openalex-snapshot

Dual Sequential Prediction Models Linking Sequential Recommendation and Information Dissemination

inferredcites →https://doi.org/10.1145/3331184.3331268openalex-snapshot

Warm Up Cold-start Advertisements

inferredcites →https://doi.org/10.1145/3366423.3380172openalex-snapshot

Modeling Users’ Behavior Sequences with Hierarchical Explainable Network for Cross-domain Fraud Detection

inferredcites →https://doi.org/10.1145/3394486.3403113openalex-snapshot

MAMO

inferredcites →https://doi.org/10.1145/3394486.3403207openalex-snapshot

Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation

inferredcites →https://doi.org/10.1145/3397271.3401043openalex-snapshot

ESAM

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How to Retrain Recommender System?

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Neural Hierarchical Factorization Machines for User's Event Sequence Analysis

inferredcites →https://doi.org/10.1145/371920.372071openalex-snapshot

Item-based collaborative filtering recommendation algorithms

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A Learning Algorithm for Continually Running Fully Recurrent Neural Networks

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.v33i01.33015458openalex-snapshot

Modelling of Bi-Directional Spatio-Temporal Dependence and Users’ Dynamic Preferences for Missing POI Check-In Identification

inferredcites →https://doi.org/10.1609/aaai.v34i04.5768openalex-snapshot

Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions

inferredcites →https://doi.org/10.24963/ijcai.2017/239openalex-snapshot

DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

inferredcites →https://doi.org/10.24963/ijcai.2017/343openalex-snapshot

Cross-Domain Recommendation: An Embedding and Mapping Approach

inferredcites →https://doi.org/10.24963/ijcai.2018/546openalex-snapshot

Sequential Recommender System based on Hierarchical Attention Networks

inferredcites →https://doi.org/10.24963/ijcai.2019/883openalex-snapshot

Sequential Recommender Systems: Challenges, Progress and Prospects

inferredcites →https://doi.org/10.24963/ijcai.2020/379openalex-snapshot

Internal and Contextual Attention Network for Cold-start Multi-channel Matching in Recommendation

inferredcites →https://doi.org/10.4230/oasics.dx.2026.15openalex-snapshot

AutoResearch Lite: a reproducible paper-inspired experiment runner (Adam mechanism reproduction and convergence-speed comparison)

inferredcites →https://doi.org/10.48550/arxiv.1205.2618openalex-snapshot

BPR: Bayesian Personalized Ranking from Implicit Feedback

inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot

Adam: A Method for Stochastic Optimization

inferredcites →https://doi.org/10.48550/arxiv.1703.03400openalex-snapshot

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

inferredcites →https://doi.org/10.48550/arxiv.1703.05175openalex-snapshot

Prototypical Networks for Few-shot Learning

inferredcites →https://doi.org/10.48550/arxiv.1803.05170openalex-snapshot

xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems

inferredcites →https://doi.org/10.48550/arxiv.1904.11547openalex-snapshot

Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings

inferredcites →https://doi.org/10.48550/arxiv.1905.06331openalex-snapshot

LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning

inferredcites →https://doi.org/10.48550/arxiv.1908.00413openalex-snapshot

MeLU: Meta-Learned User Preference Estimator for Cold-Start Recommendation

inferredcites →https://doi.org/10.48550/arxiv.2007.03183openalex-snapshot

MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation

inferredcites →https://doi.org/10.48550/arxiv.2008.05600openalex-snapshot

Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud Detection

What points at this work

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

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Multitype View of Knowledge Contrastive Learning for Recommendation

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/10.1007/978-3-030-88189-4_3openalex-snapshot

Meta-learned ID Embeddings for Online Inductive Recommendation

inferred← citeshttps://doi.org/10.1007/978-3-031-00126-0_11openalex-snapshot

Multi-view Multi-behavior Contrastive Learning in Recommendation

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Customized Conversational Recommender Systems

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CoMeta: Enhancing Meta Embeddings with Collaborative Information in Cold-Start Problem of Recommendation

inferred← citeshttps://doi.org/10.1007/978-3-031-46661-8_47openalex-snapshot

ProtoMix: Learnable Data Augmentation on Few-Shot Features with Vector Quantization in CTR Prediction

inferred← citeshttps://doi.org/10.1007/978-3-031-46661-8_48openalex-snapshot

When Alignment Makes a Difference: A Content-Based Variational Model for Cold-Start CTR Prediction

inferred← citeshttps://doi.org/10.1007/978-3-031-46664-9_37openalex-snapshot

Ensemble Learning Based Employment Recommendation Under Interaction Sparsity for College Students

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Delving Deep into Engagement Prediction of Short Videos

inferred← citeshttps://doi.org/10.1007/978-3-032-37670-1_10openalex-snapshot

DiffCold: A Diffusion-Based Generative Model for Cold-Start Item Recommendation

inferred← citeshttps://doi.org/10.1007/978-981-92-0288-1_20openalex-snapshot

Automatic Feature Interaction Learning via Attention-Free Neural Networks

inferred← citeshttps://doi.org/10.1007/978-981-92-5696-9_7openalex-snapshot

BAMCRec: Behavior-Aligned Multimodal Content Representation Learning for Item Cold-Start Recommendation

inferred← citeshttps://doi.org/10.1007/978-981-97-4045-1_43openalex-snapshot

Enhancing Task Matching in Online Labor Markets Using Multi-field Features Interaction and Meta-learning

inferred← citeshttps://doi.org/10.1007/978-981-97-7235-3_14openalex-snapshot

VM-Rec: A Variational Mapping Approach for Cold-Start User Recommendation

inferred← citeshttps://doi.org/10.1007/s10115-023-01951-1openalex-snapshot

AutoAssign+: Automatic Shared Embedding Assignment in streaming recommendation

inferred← citeshttps://doi.org/10.1007/s10994-026-07066-2openalex-snapshot

KALM4Rec: Keyword-Driven Retrieval-Augmented Large Language Models for Cold-Start User Recommendations

inferred← citeshttps://doi.org/10.1007/s11633-023-1470-4openalex-snapshot

A Comprehensive Survey of Few-shot Information Networks

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Self-Supervised learning for Conversational Recommendation

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Explainable robo-advisor: An online learning framework for new investors without trading records

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TPGRec: Text-enhanced and popularity-smoothing graph collaborative filtering for long-tail item recommendation

inferred← citeshttps://doi.org/10.1016/j.neucom.2025.132144openalex-snapshot

Embedding uncertainty modeling for cold-start item recommendation

inferred← citeshttps://doi.org/10.1016/j.ymeth.2024.11.010openalex-snapshot

Exploring drug-target interaction prediction on cold-start scenarios via meta-learning-based graph transformer

inferred← citeshttps://doi.org/10.1063/5.0257219openalex-snapshot

Context-aware recommendation system based on collaborative filtering for cold start resolving

inferred← citeshttps://doi.org/10.1109/access.2023.3236391openalex-snapshot

HyperRS: Hypernetwork-Based Recommender System for the User Cold-Start Problem

inferred← citeshttps://doi.org/10.1109/access.2025.3611026openalex-snapshot

Item Cold Start in E-Commerce Recommender Systems: A Survey

inferred← citeshttps://doi.org/10.1109/bibm66473.2025.11356913openalex-snapshot

An Information Entropy Guided Multimodal Contrastive Learning Framework for Drug-Target Interaction Prediction

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Dual-Teacher Knowledge Distillation for Strict Cold-Start Recommendation

inferred← citeshttps://doi.org/10.1109/cscwd64889.2025.11033271openalex-snapshot

MACRec: A Meta-learning Enhanced Model for Academic Collaborator Recommendation

inferred← citeshttps://doi.org/10.1109/dsit55514.2022.9943897openalex-snapshot

Cold-Start Sequential Recommendation with Collaborative Boosted Meta Transitional Learning

inferred← citeshttps://doi.org/10.1109/icassp48485.2024.10446911openalex-snapshot

Neighborhood-Enhanced Multimodal Collaborative Filtering for Item Cold Start Recommendation

inferred← citeshttps://doi.org/10.1109/icassp48485.2024.10447375openalex-snapshot

Smooth Start: A Unified Approach for Gradual Transition from Cold to Old in Recommender Systems

inferred← citeshttps://doi.org/10.1109/iccvw69036.2025.00359openalex-snapshot

VQualA 2025 Challenge on Engagement Prediction for Short Videos: Methods and Results

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ALT: An Automatic System for Long Tail Scenario Modeling

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Modeling User Attention in Music Recommendation

inferred← citeshttps://doi.org/10.1109/icde60146.2024.00354openalex-snapshot

Firzen: Firing Strict Cold-Start Items with Frozen Heterogeneous and Homogeneous Graphs for Recommendation

inferred← citeshttps://doi.org/10.1109/icde60146.2024.00380openalex-snapshot

Multi-Modality is All You Need for Transferable Recommender Systems

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AutoAssign: Automatic Shared Embedding Assignment in Streaming Recommendation

inferred← citeshttps://doi.org/10.1109/icpads60453.2023.00199openalex-snapshot

Injecting Revenue-awareness into Cold-start Recommendation: The Case of Online Insurance

inferred← citeshttps://doi.org/10.1109/ijcnn54540.2023.10191951openalex-snapshot

CGCCMR: An Enhanced Multi-gate Model for Cross-Market Recommendation

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FEW: Multi-modal Recommendation for Cold-Start

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Self-supervised Recommendation Model Combined with Constrastive Learning Function

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CustomFair: A Customized Fairness Method for Federated Recommender Systems in Social Internet of Things

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MIG: Addressing the Cold-Start Problem in Task Recommendations Through Enhanced Meta Embeddings

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Personalized Recommendation System Based on Meta-Learning for Human-Centric Consumer Services in Gig Economy

inferred← citeshttps://doi.org/10.1109/tcss.2026.3679831openalex-snapshot

Guided Diffusion Cross-Domain Recommendation With Bilateral Alignment

inferred← citeshttps://doi.org/10.1109/tetci.2024.3516087openalex-snapshot

Embedding Guarantor: Knowledge-Enhanced Graph Learning for New Item Cold-Start Recommendation

inferred← citeshttps://doi.org/10.1109/tkde.2022.3208005openalex-snapshot

Cross-Domain Meta-Learner for Cold-Start Recommendation

inferred← citeshttps://doi.org/10.1109/tkde.2023.3348493openalex-snapshot

Learning Hierarchical Preferences for Recommendation With Mixture Intention Neural Stochastic Processes

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Meta Recommendation With Robustness Improvement

inferred← citeshttps://doi.org/10.1109/tkde.2025.3529525openalex-snapshot

Dual Enhanced Meta-Learning With Adaptive Task Scheduler for Cold-Start Recommendation

inferred← citeshttps://doi.org/10.1109/tkde.2025.3613263openalex-snapshot

Preference Aware Item Cold-Start Recommendation With Hierarchical Item Alignment

inferred← citeshttps://doi.org/10.1109/tkde.2026.3705082openalex-snapshot

Behavior-Aware Consistent Distillation for Cold-Start Recommendation

inferred← citeshttps://doi.org/10.1109/wi-iat62293.2024.00010openalex-snapshot

Timbre: Efficient Job Recommendation on Heterogeneous Graphs for Professional Recruiters

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Generative Adversarial Framework for Cold-Start Item Recommendation

inferred← citeshttps://doi.org/10.1145/3477495.3531902openalex-snapshot

Improving Item Cold-start Recommendation via Model-agnostic Conditional Variational Autoencoder

inferred← citeshttps://doi.org/10.1145/3477495.3532074openalex-snapshot

User-Centric Conversational Recommendation with Multi-Aspect User Modeling

inferred← citeshttps://doi.org/10.1145/3477495.3536332openalex-snapshot

An Industrial Framework for Cold-Start Recommendation in Zero-Shot Scenarios

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Long Short-Term Temporal Meta-learning in Online Recommendation

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Personalized Transfer of User Preferences for Cross-domain Recommendation

inferred← citeshttps://doi.org/10.1145/3511808.3557335openalex-snapshot

Generative Adversarial Zero-Shot Learning for Cold-Start News Recommendation

inferred← citeshttps://doi.org/10.1145/3511808.3557684openalex-snapshot

Revisiting Cold-Start Problem in CTR Prediction

inferred← citeshttps://doi.org/10.1145/3511808.3557709openalex-snapshot

Task Similarity Aware Meta Learning for Cold-Start Recommendation

inferred← citeshttps://doi.org/10.1145/3538637.3538841openalex-snapshot

Behavior testing of load forecasting models using BuildChecks

inferred← citeshttps://doi.org/10.1145/3539618.3591627openalex-snapshot

A Preference Learning Decoupling Framework for User Cold-Start Recommendation

inferred← citeshttps://doi.org/10.1145/3539618.3591856openalex-snapshot

DCBT: A Simple But Effective Way for Unified Warm and Cold Recommendation

inferred← citeshttps://doi.org/10.1145/3539618.3592078openalex-snapshot

Uncertainty-aware Consistency Learning for Cold-Start Item Recommendation

inferred← citeshttps://doi.org/10.1145/3543507.3583286openalex-snapshot

Contrastive Collaborative Filtering for Cold-Start Item Recommendation

inferred← citeshttps://doi.org/10.1145/3543507.3583526openalex-snapshot

Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation

inferred← citeshttps://doi.org/10.1145/3543507.3583538openalex-snapshot

CAMUS: Attribute-Aware Counterfactual Augmentation for Minority Users in Recommendation

inferred← citeshttps://doi.org/10.1145/3543873.3587679openalex-snapshot

MEMER - Multimodal Encoder for Multi-signal Early-stage Recommendations

inferred← citeshttps://doi.org/10.1145/3578361openalex-snapshot

LightFR: Lightweight Federated Recommendation with Privacy-preserving Matrix Factorization

inferred← citeshttps://doi.org/10.1145/3580305.3599955openalex-snapshot

SAMD: An Industrial Framework for Heterogeneous Multi-Scenario Recommendation

inferred← citeshttps://doi.org/10.1145/3581783.3612446openalex-snapshot

Doubly Intention Learning for Cold-start Recommendation with Uncertainty-aware Stochastic Meta Process

inferred← citeshttps://doi.org/10.1145/3581783.3612522openalex-snapshot

Equivariant Learning for Out-of-Distribution Cold-start Recommendation

inferred← citeshttps://doi.org/10.1145/3583780.3614972openalex-snapshot

Modeling Preference as Weighted Distribution over Functions for User Cold-start Recommendation

inferred← citeshttps://doi.org/10.1145/3583780.3615053openalex-snapshot

Self-supervised Contrastive Enhancement with Symmetric Few-shot Learning Towers for Cold-start News Recommendation

inferred← citeshttps://doi.org/10.1145/3583780.3615077openalex-snapshot

Text Matching Improves Sequential Recommendation by Reducing Popularity Biases

inferred← citeshttps://doi.org/10.1145/3583780.3615283openalex-snapshot

Boosting Meta-Learning Cold-Start Recommendation with Graph Neural Network

inferred← citeshttps://doi.org/10.1145/3583780.3615456openalex-snapshot

An Incremental Update Framework for Online Recommenders with Data-Driven Prior

inferred← citeshttps://doi.org/10.1145/3589335.3648319openalex-snapshot

MetaSplit: Meta-Split Network for Limited-Stock Product Recommendation

inferred← citeshttps://doi.org/10.1145/3597458openalex-snapshot

Multifaceted Relation-aware Meta-learning with Dual Customization for User Cold-start Recommendation

inferred← citeshttps://doi.org/10.1145/3604915.3608773openalex-snapshot

Full Index Deep Retrieval: End-to-End User and Item Structures for Cold-start and Long-tail Item Recommendation

inferred← citeshttps://doi.org/10.1145/3604915.3608802openalex-snapshot

Domain Disentanglement with Interpolative Data Augmentation for Dual-Target Cross-Domain Recommendation

inferred← citeshttps://doi.org/10.1145/3604915.3608806openalex-snapshot

Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation

inferred← citeshttps://doi.org/10.1145/3604915.3608828openalex-snapshot

M3REC: A Meta-based Multi-scenario Multi-task Recommendation Framework

inferred← citeshttps://doi.org/10.1145/3616855.3635824openalex-snapshot

Proxy-based Item Representation for Attribute and Context-aware Recommendation

inferred← citeshttps://doi.org/10.1145/3626772.3657694openalex-snapshot

Configurable Fairness for New Item Recommendation Considering Entry Time of Items

inferred← citeshttps://doi.org/10.1145/3626772.3657801openalex-snapshot

Content-based Graph Reconstruction for Cold-start Item Recommendation

inferred← citeshttps://doi.org/10.1145/3626772.3657839openalex-snapshot

CMCLRec: Cross-modal Contrastive Learning for User Cold-start Sequential Recommendation

inferred← citeshttps://doi.org/10.1145/3626772.3661343openalex-snapshot

Optimizing E-commerce Search: Toward a Generalizable and Rank-Consistent Pre-Ranking Model

inferred← citeshttps://doi.org/10.1145/3637528.3671784openalex-snapshot

Warming Up Cold-Start CTR Prediction by Learning Item-Specific Feature Interactions

inferred← citeshttps://doi.org/10.1145/3640457.3688115openalex-snapshot

Scene-wise Adaptive Network for Dynamic Cold-start Scenes Optimization in CTR Prediction

inferred← citeshttps://doi.org/10.1145/3640457.3688126openalex-snapshot

Prompt Tuning for Item Cold-start Recommendation

inferred← citeshttps://doi.org/10.1145/3653081.3653216openalex-snapshot

Research on the Fairness of Cold-start Recommender System Based on Federated Learning Framework

inferred← citeshttps://doi.org/10.1145/3690624.3709336openalex-snapshot

Online Item Cold-Start Recommendation with Popularity-Aware Meta-Learning

inferred← citeshttps://doi.org/10.1145/3696410.3714580openalex-snapshot

Privacy-Friendly Cross-Domain Recommendation via Distilling User-irrelevant Information

inferred← citeshttps://doi.org/10.1145/3701551.3703546openalex-snapshot

Large Language Model Simulator for Cold-Start Recommendation

inferred← citeshttps://doi.org/10.1145/3701716.3715205openalex-snapshot

A Cold-start Recommendation System at Kuaishou Designed from the Short-video Perspective

inferred← citeshttps://doi.org/10.1145/3705328.3748038openalex-snapshot

Let It Go? Not Quite: Addressing Item Cold Start in Sequential Recommendations with Content-Based Initialization

inferred← citeshttps://doi.org/10.1145/3711896.3737188openalex-snapshot

AliBoost: Ecological Boosting Framework in Alibaba Platform

inferred← citeshttps://doi.org/10.1145/3711896.3737275openalex-snapshot

Aligning and Balancing ID and Multimodal Representations for Recommendation

inferred← citeshttps://doi.org/10.1145/3726302.3730033openalex-snapshot

MGIPF: Multi-Granularity Interest Prediction Framework for Personalized Recommendation

inferred← citeshttps://doi.org/10.1145/3726302.3731947openalex-snapshot

GRAIN: Group-Reinforced Adaptive Interaction Network for Cold-Start CTR Prediction in E-commerce Search

inferred← citeshttps://doi.org/10.1145/3746252.3760793openalex-snapshot

Harnessing Light for Cold-Start Recommendations: Leveraging Epistemic Uncertainty to Enhance Performance in User-Item Interactions

inferred← citeshttps://doi.org/10.1145/3746252.3761508openalex-snapshot

Meta-Adaptive Network for Effective Cold-Start Recommendation via Warm-Aware Representation Learning

inferred← citeshttps://doi.org/10.1145/3746637openalex-snapshot

Cold-start User Recommendation via Heterogeneous Domain Adaptation

inferred← citeshttps://doi.org/10.1145/3770855.3817886openalex-snapshot

UCB-Based Feature Engineering for Cold-Start in Recommenders

inferred← citeshttps://doi.org/10.1145/3770855.3818367openalex-snapshot

Denoising Implicit Feedback for Cold-start Recommendation

inferred← citeshttps://doi.org/10.1145/3773078.3831846openalex-snapshot

JTH: A Dataset for Evaluating Cold-Start and Temporal Dynamics in Job Recommendation

inferred← citeshttps://doi.org/10.1145/3774904.3792800openalex-snapshot

AliBoostV2: CTR-Growth Balanced Boosting Framework in Billion-Scale Recommendation Platform

inferred← citeshttps://doi.org/10.1145/3830081openalex-snapshot

Synergizing Large Language Model and Knowledge Graph for Cold-Start Recommendation

inferred← citeshttps://doi.org/10.1371/journal.pone.0313928openalex-snapshot

ICRA: A study of highly accurate course recommendation models incorporating false review filtering and ERNIE 3.0

inferred← citeshttps://doi.org/10.1609/aaai.v38i8.28763openalex-snapshot

Preference Aware Dual Contrastive Learning for Item Cold-Start Recommendation

inferred← citeshttps://doi.org/10.1609/aaai.v39i12.33469openalex-snapshot

Addressing Cold-Start Problem in Click-Through Rate Prediction via Supervised Diffusion Modeling

inferred← citeshttps://doi.org/10.18653/v1/2022.findings-naacl.38openalex-snapshot

Harmless Transfer Learning for Item Embeddings

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ResNetMF: Enhancing Recommendation Systems with Residual Network Matrix Factorization

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An Asymmetric Mixture Factorization Model for Cold-start Recommendation

inferred← citeshttps://doi.org/10.2139/ssrn.4836975openalex-snapshot

Dynamic User Interest Augmentation via Stream Clustering and Memory Networks in Large-Scale Recommender Systems

inferred← citeshttps://doi.org/10.2298/csis221116052kopenalex-snapshot

Towards addressing item cold-start problem in collaborative filtering by embedding agglomerative clustering and FP-growth into the recommendation system

inferred← citeshttps://doi.org/10.23919/picmet64035.2024.10653079openalex-snapshot

Discovering Technological Opportunities in the Hydrogen Industry: An Adoption of GNN and Patent Data

inferred← citeshttps://doi.org/10.2991/978-94-6463-108-1_55openalex-snapshot

Rec-GNN: Research on Social Recommendation based on Graph Neural Networks

inferred← citeshttps://doi.org/10.3390/app14125022openalex-snapshot

Multi-Feature-Enhanced Academic Paper Recommendation Model with Knowledge Graph

inferred← citeshttps://doi.org/10.3390/app15094784openalex-snapshot

Diffusion Model as a Base for Cold Item Recommendation

inferred← citeshttps://doi.org/10.3390/computers14080302openalex-snapshot

Novel Models for the Warm-Up Phase of Recommendation Systems

inferred← citeshttps://doi.org/10.3390/electronics15040902openalex-snapshot

Graph Contrastive Learning via Noisy Training for Cold-Start Recommendation

inferred← citeshttps://doi.org/10.3724/sp.j.1249.2023.03266openalex-snapshot

Cross-domain recommendation model of deep feature extraction and attention mechanism

inferred← citeshttps://doi.org/10.4018/jcit.355241openalex-snapshot

Graph Agent Transformer Network With Contrast Learning for Cross-Domain Recommendation of E-Commerce

inferred← citeshttps://doi.org/10.48550/arxiv.2108.04690openalex-snapshot

POSO: Personalized Cold Start Modules for Large-scale Recommender Systems

inferred← citeshttps://doi.org/10.48550/arxiv.2109.13921openalex-snapshot

Click-through Rate Prediction with Auto-Quantized Contrastive Learning

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