Cover Image

Leveraging Media Frames to Improve Normative Diversity in News Recommendations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dattawad, Sourabh, Daffara, Agnese, Ceron, Tanise
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Generalizability of Media Frames: Corpus creation and analysis across countries
by: Daffara, Agnese, et al.
Published: (2025)

Democratizing News Recommenders: Modeling Multiple Perspectives for News Candidate Generation with VQ-VAE
by: Hardy, et al.
Published: (2025)

D-RDW: Diversity-Driven Random Walks for News Recommender Systems
by: Li, Runze, et al.
Published: (2025)

Leveraging Geometric Insights in Hyperbolic Triplet Loss for Improved Recommendations
by: Yusupov, Viacheslav, et al.
Published: (2025)

Improved Diversity-Promoting Collaborative Metric Learning for Recommendation
by: Bao, Shilong, et al.
Published: (2024)

Diversity of What? On the Different Conceptualizations of Diversity in Recommender Systems
by: Vrijenhoek, Sanne, et al.
Published: (2024)

Conventional Contrastive Learning Often Falls Short: Improving Dense Retrieval with Cross-Encoder Listwise Distillation and Synthetic Data
by: Tamber, Manveer Singh, et al.
Published: (2025)

Improving News Recommendations through Hybrid Sentiment Modelling and Reinforcement Learning
by: Kingenga, Eunice, et al.
Published: (2025)

Informfully Recommenders -- Reproducibility Framework for Diversity-aware Intra-session Recommendations
by: Heitz, Lucien, et al.
Published: (2025)

A Normative Framework for Benchmarking Consumer Fairness in Large Language Model Recommender System
by: Deldjoo, Yashar, et al.
Published: (2024)

Leveraging Artist Catalogs for Cold-Start Music Recommendation
by: Tamm, Yan-Martin, et al.
Published: (2026)

Leveraging LLMs for Influence Path Planning in Proactive Recommendation
by: Wang, Mingze, et al.
Published: (2024)

Augmenting Sequential Recommendation with Balanced Relevance and Diversity
by: Dang, Yizhou, et al.
Published: (2024)

Fairness and Diversity in Recommender Systems: A Survey
by: Zhao, Yuying, et al.
Published: (2023)

Improving Sequential Recommendations with LLMs
by: Boz, Artun, et al.
Published: (2024)

Leveraging Memory Retrieval to Enhance LLM-based Generative Recommendation
by: Wang, Chengbing, et al.
Published: (2024)

A Survey on Point-of-Interest Recommendations Leveraging Heterogeneous Data
by: Wang, Zehui, et al.
Published: (2023)

Generative News Recommendation
by: Gao, Shen, et al.
Published: (2024)

On Practical Diversified Recommendation with Controllable Category Diversity Framework
by: Zhang, Tao, et al.
Published: (2024)

Monitoring the Evolution of Behavioural Embeddings in Social Media Recommendation
by: Saket, Srijan, et al.
Published: (2023)

User and Recommender Behavior Over Time: Contextualizing Activity, Effectiveness, Diversity, and Fairness in Book Recommendation
by: Barenji, Samira Vaez, et al.
Published: (2025)

"Beyond the past": Leveraging Audio and Human Memory for Sequential Music Recommendation
by: Tran, Viet-Anh, et al.
Published: (2025)

Leveraging Large Language Models to Enhance Personalized Recommendations in E-commerce
by: Xu, Wei, et al.
Published: (2024)

Multi-Objective Recommendation via Multivariate Policy Learning
by: Jeunen, Olivier, et al.
Published: (2024)

Accurate and Diverse Recommendations via Propensity-Weighted Linear Autoencoders
by: Onishi, Kazuma, et al.
Published: (2025)

Diversity-aware Dual-promotion Poisoning Attack on Sequential Recommendation
by: Zhao, Yuchuan, et al.
Published: (2025)

Improving Conversational Recommendation with Contextual Adaptation of External Recommenders and LLM-based Reranking
by: Li, Chuang, et al.
Published: (2025)

Leveraging LLMs and Heterogeneous Knowledge Graphs for Persona-Driven Session-Based Recommendation
by: Gupta, Muskan, et al.
Published: (2026)

Improving Minimax Group Fairness in Sequential Recommendation
by: Acharya, Krishna, et al.
Published: (2025)

Improving Out-of-Vocabulary Handling in Recommendation Systems
by: Shiao, William, et al.
Published: (2024)

Improve Temporal Awareness of LLMs for Sequential Recommendation
by: Chu, Zhendong, et al.
Published: (2024)

Recommending Search Filters To Improve Conversions At Airbnb
by: Li, Hao, et al.
Published: (2026)

Improving LLMs for Recommendation with Out-Of-Vocabulary Tokens
by: Huang, Ting-Ji, et al.
Published: (2024)

DivNet: Diversity-Aware Self-Correcting Sequential Recommendation Networks
by: Xiao, Shuai, et al.
Published: (2024)

Topic-Centric Explanations for News Recommendation
by: Liu, Dairui, et al.
Published: (2023)

Controlled Personalization in Legacy Media Online Services: A Case Study in News Recommendation
by: Holzleitner, Marlene, et al.
Published: (2025)

Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation
by: Zhang, Kaike, et al.
Published: (2024)

Leave No One Behind: Enhancing Diversity While Maintaining Accuracy in Social Recommendation
by: Li, Lei, et al.
Published: (2025)

STAR-Rec: Making Peace with Length Variance and Pattern Diversity in Sequential Recommendation
by: Wang, Maolin, et al.
Published: (2025)

FLAME: Condensing Ensemble Diversity into a Single Network for Efficient Sequential Recommendation
by: Kim, WooJoo, et al.
Published: (2026)