Cover Image

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

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Luo, Yunze, Jiang, Yuezihan, Jiang, Yinjie, Chen, Gaode, Wang, Jingchi, Bian, Kaigui, Li, Peiyi, Zhang, Qi
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval H.3.3
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Prompt Tuning for Item Cold-start Recommendation
by: Jiang, Yuezihan, et al.
Published: (2024)

Graph Reasoning for Explainable Cold Start Recommendation
by: Frej, Jibril, et al.
Published: (2024)

Diagnosing LLM-based Rerankers in Cold-Start Recommender Systems: Coverage, Exposure and Practical Mitigations
by: Lemdiasova, Ekaterina, et al.
Published: (2026)

LLM Reasoning for Cold-Start Item Recommendation
by: Li, Shijun, et al.
Published: (2025)

The Layout Is the Model: On Action-Item Coupling in Generative Recommendation
by: Wei, Xiaokai, et al.
Published: (2025)

From Item-Only to Query-Item: Query-Conditioned Generative Search with QGS in Quark
by: Song, Yanglong, et al.
Published: (2026)

FIM: Frequency-Aware Multi-View Interest Modeling for Local-Life Service Recommendation
by: Wang, Guoquan, et al.
Published: (2025)

Future Impact Decomposition in Request-level Recommendations
by: Wang, Xiaobei, et al.
Published: (2024)

Context-Aware Lifelong Sequential Modeling for Online Click-Through Rate Prediction
by: Guo, Ting, et al.
Published: (2025)

Hyena Operator for Fast Sequential Recommendation
by: Liu, Jiahao, et al.
Published: (2026)

Generating Query Recommendations via LLMs
by: Bacciu, Andrea, et al.
Published: (2024)

Action-Aware Generative Sequence Modeling for Short Video Recommendation
by: Li, Wenhao, et al.
Published: (2026)

Value Function Decomposition in Markov Recommendation Process
by: Wang, Xiaobei, et al.
Published: (2025)

Understanding Before Recommendation: Semantic Aspect-Aware Review Exploitation via Large Language Models
by: Liu, Fan, et al.
Published: (2023)

HeterRec: Heterogeneous Information Transformer for Scalable Sequential Recommendation
by: Deng, Hao, et al.
Published: (2025)

Disagreement as Signals: Dual-view Calibration for Sequential Recommendation Denoising
by: Li, Sijia, et al.
Published: (2026)

Text-like Encoding of Collaborative Information in Large Language Models for Recommendation
by: Zhang, Yang, et al.
Published: (2024)

MIND Your Language: A Multilingual Dataset for Cross-lingual News Recommendation
by: Iana, Andreea, et al.
Published: (2024)

PUB: An LLM-Enhanced Personality-Driven User Behaviour Simulator for Recommender System Evaluation
by: Ma, Chenglong, et al.
Published: (2025)

CreAgent: Towards Long-Term Evaluation of Recommender System under Platform-Creator Information Asymmetry
by: Ye, Xiaopeng, et al.
Published: (2025)

Behavior-Aware Dual-Channel Preference Learning for Heterogeneous Sequential Recommendation
by: Xiao, Jing, et al.
Published: (2026)

WindTunnel -- A Framework for Community Aware Sampling of Large Corpora
by: Iannelli, Michael
Published: (2024)

Exploring Content-Based and Meta-Data Analysis for Detecting Fake News Infodemic: A case study on COVID-19
by: Ajao, Oluwaseun, et al.
Published: (2024)

ESANS: Effective and Semantic-Aware Negative Sampling for Large-Scale Retrieval Systems
by: Xing, Haibo, et al.
Published: (2025)

Content-Aware Tweet Location Inference using Quadtree Spatial Partitioning and Jaccard-Cosine Word Embedding
by: Ajao, Oluwaseun, et al.
Published: (2024)

LabelCraft: Empowering Short Video Recommendations with Automated Label Crafting
by: Bai, Yimeng, et al.
Published: (2023)

GradCraft: Elevating Multi-task Recommendations through Holistic Gradient Crafting
by: Bai, Yimeng, et al.
Published: (2024)

Towards Comprehensible Recommendation with Large Language Model Fine-tuning
by: Luo, Yunze, et al.
Published: (2025)

Dynamic Superblock Pruning for Fast Learned Sparse Retrieval
by: Carlson, Parker, et al.
Published: (2025)

Explainable Graph-based Search for Lessons-Learned Documents in the Semiconductor Industry
by: Abu-Rasheed, Hasan, et al.
Published: (2021)

Beyond the Flat Sequence: Hierarchical and Preference-Aware Generative Recommendations
by: Chen, Zerui, et al.
Published: (2026)

Comprehensive List Generation for Multi-Generator Reranking
by: Yang, Hailan, et al.
Published: (2025)

Enhancing Music Recommendation with User Mood Input
by: Zeng, Terence
Published: (2026)

MCLMR: A Model-Agnostic Causal Learning Framework for Multi-Behavior Recommendation
by: Zhang, Ranxu, et al.
Published: (2026)

Representation Quantization for Collaborative Filtering Augmentation
by: Luo, Yunze, et al.
Published: (2025)

Boosting LLM-based Relevance Modeling with Distribution-Aware Robust Learning
by: Liu, Hong, et al.
Published: (2024)

I$^3$-MRec: Invariant Learning with Information Bottleneck for Incomplete Modality Recommendation
by: Chen, Huilin, et al.
Published: (2025)

Effective Diversification of Multi-Carousel Book Recommendation
by: Wilten, Daniël, et al.
Published: (2025)

Course Recommender Systems Need to Consider the Job Market
by: Frej, Jibril, et al.
Published: (2024)

Multi-Tower Multi-Interest Recommendation with User Representation Repel
by: Xiong, Tianyu, et al.
Published: (2024)