Most of the time, recommendation systems are evaluated using accuracy metrics like RMSE and MAE, but these accuracy values do not guarantee the generation of relevant recommendation lists for users. This study explains the difference by experiment with varied cross-paradigm comparison of User-Based Collaborative Filter...
Howard Frelindo Goh, Rakha Adinata Zavier, Alexander Christian Suryanto Linggodigdo et al.· International Conferences on...· 0 citations
The growing use of social media in Indonesia has led to an abundance of emotionally rich content, offering valuable insights into public sentiment while also creating challenges for computational analysis due to linguistic variability, informal expressions, and diverse writing styles. This study aims to evaluate and en...
Richard Dean Tanjaya, Garent Ecklesia, Henry Lucky et al.· International Conference on...· 0 citations
The exponential growth of scientific literature has intensified the demand for automated summarization systems capable of producing abstracts that are both linguistically fluent and factually reliable. Existing approaches face a fundamental trade-off: encoder-decoder models such as BART and T5 maintain strong factual g...
Geoffrey Antonio Arifin, Andrew Widyanata, Henry Lucky et al.· International Conference on...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.