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NetEase LeiHuo UX Big Data Technology

Aug 23, 2023 · Artificial Intelligence

Model-Based Collaborative Filtering Algorithms for Game Item Recommendation

This article explains the principles of collaborative filtering, outlines its three main types—user‑based, item‑based, and model‑based—and focuses on model‑based approaches such as matrix factorization, clustering, and deep‑learning techniques for recommending personalized game items to improve player experience and monetization.

Recommendation systemsartificial intelligencecollaborative filtering

0 likes · 7 min read

Model-Based Collaborative Filtering Algorithms for Game Item Recommendation

NetEase LeiHuo UX Big Data Technology

Sep 20, 2022 · Product Management

Repurchase Strategy in Game Item Recommendation: Scenarios, Challenges, and Implementation

The article examines repurchase strategies for game item recommendations, analyzing various recommendation scenarios, their specific challenges, item classification based on purchase density and repurchase rates, and practical guidelines for applying the strategy across permanent shop, limited‑time gift packs, and refreshable recommendations.

game itemsproduct managementrecommendation

0 likes · 11 min read

Repurchase Strategy in Game Item Recommendation: Scenarios, Challenges, and Implementation