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New dataset boosts personalized book recommendations for Bangla literature

By PulseAugur Editorial · [1 sources] ·

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.

RANK_REASON The cluster contains an academic paper introducing a new dataset for a specific research task. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Rahin Arefin Ahmed, Md. Anik Chowdhury, Sakil Ahmed Sheikh Reza, Devnil Bhattacharjee, Muhammad Abdullah Adnan, Julian McAuley, Nafis Sadeq ·

    Towards Personalized Bangla Book Recommendation: A Large-Scale Heterogeneous Book Graph Dataset

    arXiv:2602.12129v2 Announce Type: replace-cross Abstract: Personalized book recommendation in Bangla literature has been constrained by the lack of structured, large-scale, and publicly available datasets. This work introduces RokomariBG, a large-scale heterogeneous book graph da…

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