Adaptive Multi-Document Summarisation: a Hybrid AI Approach with Graph BERTSUM, Q-Learning, and Domain Personalisation

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Publication Details

Journal
International Journal of Internet Manufacturing and Services
Published
2025-08-30
DOI
https://doi.org/10.1504/ijims.2027.10073182
Primary Topic
Data Quality and Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Adaptive Multi-Document Summarisation: a Hybrid AI Approach with Graph BERTSUM, Q-Learning, and Domain Personalisation

Bijay Kumar Paikaray, Sunilkumar Ketineni, J Sheela
International Journal of Internet Manufacturing and Services
Data Quality and Management
article

Adaptive Multi-Document Summarisation: a Hybrid AI Approach with Graph BERTSUM, Q-Learning, and Domain Personalisation

Bijay Kumar Paikaray, Sunilkumar Ketineni, J Sheela
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Internet Manufacturing and ServicesVol. 13(3)
Openalex Percentile: Top 73%
Data Quality and Management
DOISourceOpenAlex
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Adaptive Multi-Document Summarisation: a Hybrid AI Approach with Graph BERTSUM, Q-Learning, and Domain Personalisation — Bijay Kumar Paikaray, Sunilkumar Ketineni, et al. · International Journal of Internet Manufacturing and Services (2025) | TGRS Research Map | TGRS