Cover Image

A Look Into News Avoidance Through AWRS: An Avoidance-Aware Recommender System

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Azevedo, Igor L. R., Suzumura, Toyotaro, Yasui, Yuichiro
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

NewsReX: A More Efficient Approach to News Recommendation with Keras 3 and JAX
by: Azevedo, Igor L. R., et al.
Published: (2025)

Popular News Always Compete for the User's Attention! POPK: Mitigating Popularity Bias via a Temporal-Counterfactual
by: Azevedo, Igor L. R., et al.
Published: (2024)

A Prompting-Based Representation Learning Method for Recommendation with Large Language Models
by: Chen, Junyi, et al.
Published: (2024)

Modeling User Preferences as Distributions for Optimal Transport-Based Cross-Domain Recommendation under Non-Overlapping Settings
by: Xiao, Ziyin, et al.
Published: (2025)

Multimodal Point-of-Interest Recommendation
by: Kanzawa, Yuta, et al.
Published: (2024)

SymCERE: Symmetric Contrastive Learning for Robust Review-Enhanced Recommendation
by: Suzumura, Toyotaro, et al.
Published: (2025)

Stochastic Communication Avoidance for Recommendation Systems
by: Erdogan, Lutfi Eren, et al.
Published: (2024)

Enhancing Time Awareness in Generative Recommendation
by: Lee, Sunkyung, et al.
Published: (2025)

A Multi-Agent Conversational Recommender System
by: Fang, Jiabao, et al.
Published: (2024)

Enhancing High-order Interaction Awareness in LLM-based Recommender Model
by: Wang, Xinfeng, et al.
Published: (2024)

Prompt-Based LLMs for Position Bias-Aware Reranking in Personalized Recommendations
by: Islam, Md Aminul, et al.
Published: (2025)

A Survey on Large Language Models in Multimodal Recommender Systems
by: Lopez-Avila, Alejo, et al.
Published: (2025)

EncodeRec: An Embedding Backbone for Recommendation Systems
by: Hadad, Guy, et al.
Published: (2026)

Knowledge Graph Driven Recommendation System Algorithm
by: Zhang, Chaoyang, et al.
Published: (2023)

MMREC: LLM Based Multi-Modal Recommender System
by: Tian, Jiahao, et al.
Published: (2024)

Multi-Layer Ranking with Large Language Models for News Source Recommendation
by: Zhang, Wenjia, et al.
Published: (2024)

Inference Computation Scaling for Feature Augmentation in Recommendation Systems
by: Liu, Weihao, et al.
Published: (2025)

Learning User Interests via Reasoning and Distillation for Cross-Domain News Recommendation
by: Zhu, Mengdan, et al.
Published: (2026)

Large Language Models Make Sample-Efficient Recommender Systems
by: Lin, Jianghao, et al.
Published: (2024)

Large Language Models are Zero-Shot Rankers for Recommender Systems
by: Hou, Yupeng, et al.
Published: (2023)

Improving Conversational Recommendation Systems via Counterfactual Data Simulation
by: Wang, Xiaolei, et al.
Published: (2023)

Multi-Type Context-Aware Conversational Recommender Systems via Mixture-of-Experts
by: Zou, Jie, et al.
Published: (2025)

iAgent: LLM Agent as a Shield between User and Recommender Systems
by: Xu, Wujiang, et al.
Published: (2025)

Bridging the Gap Between Information Seeking and Product Search Systems: Q&A Recommendation for E-commerce
by: Kuzi, Saar, et al.
Published: (2024)

LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation
by: Hu, Beizhe, et al.
Published: (2025)

A Large-Scale Study of Relevance Assessments with Large Language Models: An Initial Look
by: Upadhyay, Shivani, et al.
Published: (2024)

Are Longer Prompts Always Better? Prompt Selection in Large Language Models for Recommendation Systems
by: Kusano, Genki, et al.
Published: (2024)

A BERT Based Hybrid Recommendation System For Academic Collaboration
by: N, Sangeetha, et al.
Published: (2025)

Navigating Through Paper Flood: Advancing LLM-based Paper Evaluation through Domain-Aware Retrieval and Latent Reasoning
by: Zheng, Wuqiang, et al.
Published: (2025)

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models
by: Zheng, Kai, et al.
Published: (2024)

Conversational Recommender System and Large Language Model Are Made for Each Other in E-commerce Pre-sales Dialogue
by: Liu, Yuanxing, et al.
Published: (2023)

Rec-R1: Bridging Generative Large Language Models and User-Centric Recommendation Systems via Reinforcement Learning
by: Lin, Jiacheng, et al.
Published: (2025)

Can LLMs Outshine Conventional Recommenders? A Comparative Evaluation
by: Liu, Qijiong, et al.
Published: (2025)

Item-Language Model for Conversational Recommendation
by: Yang, Li, et al.
Published: (2024)

Explainable Recommender with Geometric Information Bottleneck
by: Yan, Hanqi, et al.
Published: (2023)

A Survey of Generative Search and Recommendation in the Era of Large Language Models
by: Li, Yongqi, et al.
Published: (2024)

Do Recommender Systems Really Leverage Multimodal Content? A Comprehensive Analysis on Multimodal Representations for Recommendation
by: Pomo, Claudio, et al.
Published: (2025)

Cognitive Biases in Large Language Models for News Recommendation
by: Lyu, Yougang, et al.
Published: (2024)

RecDCL: Dual Contrastive Learning for Recommendation
by: Zhang, Dan, et al.
Published: (2024)

Taxonomy-Guided Zero-Shot Recommendations with LLMs
by: Liang, Yueqing, et al.
Published: (2024)