Towards Personalized Bangla Book Recommendation: A Large-Scale Heterogeneous Book Graph Dataset
Researchers have introduced RokomariBG, a new large-scale dataset designed to advance personalized book recommendations within Bangla literature. This heterogeneous book graph dataset includes over 127,000 books and related metadata, aiming to address the scarcity of resources for low-resource languages. A benchmarking study using the dataset highlights the significant impact of relational information and code-mixed text on recommendation performance, revealing unique challenges in the Bangladeshi e-commerce landscape. AI
IMPACT Enables reproducible research and development of recommendation systems for low-resource languages.