A new algorithmic framework called Budget-First Tariff Recommendation (BFTR) has been proposed to address overcharging in telecom plans. BFTR integrates eight strategies, including novel Recursive Hybrid and Knapsack-First Hybrid approaches, to ensure that the final price aligns with the catalog reference price, thereby guaranteeing no overcharging. Experiments on a dataset of 974 Nigerian customers demonstrated the effectiveness of BFTR strategies, with Recursive Hybrid proving optimal for customers and Power Law offering a strong compromise, all while achieving zero surcharges and fast execution times. AI
IMPACT This framework could lead to fairer pricing models in telecommunications, potentially impacting how data plans are offered globally.
RANK_REASON The cluster describes a research paper published on arXiv detailing a new algorithmic framework. [lever_c_demoted from research: ic=2 ai=0.4]
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- BFTR
- Budget-First Tariff Recommendation
- Knapsack-First Hybrid
- Nigerian Pidgin
- Power Law
- Recursive Hybrid
- Ghislain Dorian Tchuente Mondjo
- Nigerian MTN
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