most citedFAIR Enough: How Can We Develop and Assess a FAIR-Compliant Dataset for Large Language Models' Training?

5 citations · 7 across the 8 of their papers we have counts for

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cs.IR2024

A Comprehensive Review of Recommender Systems: Transitioning from Theory to Practice

Shaina Raza, Mizanur Rahman, Safiullah Kamawal +4

Recommender Systems (RS) play an integral role in enhancing user experiences by providing personalized item suggestions. This survey reviews the progress in RS inclusively from 201…

cs.IR2024

Review-based Recommender Systems: A Survey of Approaches, Challenges and Future Perspectives

Emrul Hasan, Mizanur Rahman, Chen Ding +2

Recommender systems play a pivotal role in helping users navigate an overwhelming selection of products and services. On online platforms, users have the opportunity to share feedb…