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Model Perspective

Mar 16, 2023 · Fundamentals

Unlocking Model Evaluation: How the CRITIC Method Calculates Criterion Weights with Python

This article explains the CRITIC (Criteria Importance Through Intercriteria Correlation) method, its step‑by‑step procedure, mathematical formulation, and a complete Python implementation that computes criterion weights for multi‑criteria decision making.

CRITICMulti-Criteriadecision making

0 likes · 5 min read

Unlocking Model Evaluation: How the CRITIC Method Calculates Criterion Weights with Python

Model Perspective

May 30, 2022 · Fundamentals

How to Define the “Best” Object in Multi‑Criteria Evaluation Models

This article explains how to set the “best” reference in comprehensive evaluation models by introducing several modeling approaches—including full‑score, ideal‑object, TOPSIS, and DEA—along with the necessary terminology, weighting, and distance calculations.

DEATOPSISevaluation models

0 likes · 7 min read

How to Define the “Best” Object in Multi‑Criteria Evaluation Models

Xianyu Technology

Aug 20, 2020 · Artificial Intelligence

Scatter Algorithm for Recommendation Systems: Methods and Evaluation

The article presents three scatter algorithms—column scatter, weight distribution, and sliding‑window—that reorder recommendation lists to disperse similar items, describing their mechanics, computational complexities, experimental trade‑offs, and a hybrid case study for efficient, multi‑dimensional list diversification.

PerformanceRankingSliding Window

0 likes · 10 min read

Scatter Algorithm for Recommendation Systems: Methods and Evaluation