Modeling User Propagation Ability for Social Recommendation and Influence Maximization in Games

This article presents a comprehensive study on leveraging user propagation ability metrics for friend recommendation and influence maximization in gaming environments, introducing a conversion‑funnel‑aware diffusion model, novel influence‑maximization variants, efficient greedy algorithms, and extensive offline and online experiments that demonstrate significant performance gains over traditional methods.

Gaminggraph algorithmsinfluence maximization

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Modeling User Propagation Ability for Social Recommendation and Influence Maximization in Games

Tencent Cloud Developer

Apr 12, 2024 · Artificial Intelligence

Independent Cascade with Invitation (ICI) Model for Invitation-Aware Diffusion in Social Networks

The Independent Cascade with Invitation (ICI) model extends traditional diffusion by explicitly modeling multi‑stage invitation behavior—Inviter, Invitee, Acceptor—using probabilistic role transitions, and demonstrates up to five‑fold cascade estimation improvement and significant gains in friend‑recommendation and seed‑spread applications across game and social‑network datasets.

Friend RecommendationICI modelWWW 2024

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