Temporal Neighbor Sequence-based Interpretable Spammer Groups Detection on E-commerce platform

doi:10.1016/j.ipm.2025.104177

Temporal Neighbor Sequence-based Interpretable Spammer Groups Detection on E-commerce platform

2025-06-03

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DOI：10.1016/j.ipm.2025.104177

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• Detects spammer groups with burst session mining from temporal behaviors and relationships. • Simplifies co-review temporal networks, reducing computational complexity for faster detection. • Improves model interpretability with clear insights into spam strategies and group evolution. • Outperforms existing methods in precision, validated on Yelp and Amazon data.

Temporal Neighbor Sequence-based Interpretable Spammer Groups Detection on E-commerce platform

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