Name		Name	Last commit message	Last commit date
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PIP.ipynb		PIP.ipynb
README.md		README.md
Singularity.zip		Singularity.zip
lastfm.py		lastfm.py
new_user_artists.txt		new_user_artists.txt
new_user_artists_scaled.txt		new_user_artists_scaled.txt

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DataAnalysis

2019 가을학기 데이터문제해결및실습1

Recommender System - LastFM data

Final Assignment

과제 모듈화
Singularity와 PIP 구현

PIP (Proximity-Impact-Popularity)

두 사용자 $u_{i}$ 와 $u_{j}$ 의 유사도 측정 :

$SIM(u_{i},u_{j}) = \sum_{k\in C_{i,j}}PIP(r_{ik},r_{jk})$

$PIP(r1, r2) = Proximity(r1, r2) \times Impact(r1, r2) \times Popularity(r1, r2).$

$Proximity(r1,r2) = \left \left \{ \right.\{2\cdot (R_{max} - R_{min}) + 1\left. \right \} - D(r1,r2) \right.\left \}^{2}$

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