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Enhancing recommender systems: the improved serendipity-oriented greedy (ISOG) algorithm for balanced accuracy, serendipity, and efficiency

Wen-Yau Liang,Chun-Che Huang,T. Tseng,Guanming Lu

2026 · DOI: 10.1007/s11042-026-21170-4
Multimedia tools and applications · 0 Citations

TLDR

The Improved Serendipity-Oriented Greedy algorithm is proposed, which removes the diversity parameter to reduce complexity to O (n log n) while preserving accuracy and serendipity and provides practical value for next-generation recommender systems.