Natural language processing for analyzing online customer reviews: a survey, taxonomy, and open research challenges
In recent years, e-commerce platforms have become popular and transformed the way
people buy and sell goods. People are rapidly adopting Internet shopping due to the …
people buy and sell goods. People are rapidly adopting Internet shopping due to the …
Max Explainability Score–A quantitative metric for explainability evaluation in knowledge graph-based recommendations
N Tiwary, SAM Noah, F Fauzi, TS Yee - Computers and Electrical …, 2024 - Elsevier
Applying machine learning (ML) models within recommender systems (RSs) has proven
effective in achieving high recommendation accuracy. However, a prevalent drawback is …
effective in achieving high recommendation accuracy. However, a prevalent drawback is …
Enhancing Book Recommendation Accuracy through User Rating Analysis and Collaborative Filtering Techniques: An Empirical Analysis
J Chongwarin, P Manorom, V Chaichuay… - … and the Digital …, 2024 - jtde.telsoc.org
Since online electronic books have become popular, book recommendation systems have
been invented and challenged to handle the high demand from users in the digital era. This …
been invented and challenged to handle the high demand from users in the digital era. This …