Budget-First Tariff Recommendation (BFTR): A Complete Algorithmic Framework for Telecom Plan Recommendation without Overcharging

The paper introduces BFTR, a Budget‑First Tariff Recommendation framework that offers eight algorithmic strategies, including two novel hybrid approaches (Recursive Hybrid and Knapsack‑First Hybrid). It mathematically guarantees no overcharging by aligning final prices with catalog reference prices and proves that a suitable offer exists for any positive budget. Experiments on 974 Nigerian MTN customers show all strategies achieve zero surcharge, with Recursive Hybrid and Piecewise delivering optimal budget usage and volume, respectively, while maintaining sub‑10 ms execution times.

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