Personalized Recommendation of Game Cosmetic Items: From Popularity to Latent Factor Models

The article explores how to recommend visually appealing game cosmetics—such as character outfits and weapon skins—by transforming subjective notions of beauty into objective features using popularity heuristics, tag‑based labeling, and latent factor models to predict player preferences.

Tagginggame cosmeticslatent factor model

0 likes · 8 min read

Personalized Recommendation of Game Cosmetic Items: From Popularity to Latent Factor Models

21CTO

Dec 17, 2017 · Artificial Intelligence

How Collaborative Filtering Turns User Behavior into Smart Recommendations

This article explains the fundamentals of collaborative filtering, detailing explicit and implicit user feedback, power‑law behavior patterns, neighborhood‑based and latent‑factor recommendation algorithms, and how they are applied in e‑commerce and social platforms.

AIRecommendation Systemscollaborative filtering

0 likes · 8 min read

How Collaborative Filtering Turns User Behavior into Smart Recommendations

Architecture Digest

Dec 17, 2017 · Artificial Intelligence

Introduction to User Behavior and Collaborative Filtering in Recommendation Systems

This article explains user behavior concepts and feedback types, introduces collaborative filtering methods including user‑based, item‑based and latent factor models, discusses similarity measures, power‑law distributions, and practical considerations such as negative sampling, providing a comprehensive overview for building recommendation systems.

Recommendation Systemscollaborative filteringlatent factor model

0 likes · 9 min read

Introduction to User Behavior and Collaborative Filtering in Recommendation Systems