Graph Model for NB model

User-Item graphs

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Neighborhood definition

Random Walks

Personalized PageRank or the SimRank method to determine the k most similar users.

Katz Measure

Katz(i,j)=∑t=1∞βt⋅ηij(t)Katz(i,j)=\sum^\infty_{t=1}\beta^t \cdot \eta^{(t)}_{ij}

ηij(t)\eta^{(t)}_{ij} is the number of walks of length tt between nodes ii and jj. The value of β\beta is a discount factor.

K=∑i=1∞(βA)i=(I−βA)−1−IK=\sum^\infty_{i=1}(\beta A)^i=(I-\beta A)^{-1}-I

User-User Graphs

Item-Item Graphs

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