Information pushing method and device based on graph network
An information push and network technology, applied in the computer field, can solve the problems of learning and training, reduce training accuracy and convergence speed, and low rationality of positive and negative samples, so as to speed up the convergence speed, reduce repeated calculations, and reduce irrationality. Effect
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[0072] 1) Set the initial value of the degree of association as PR(A)=1, and the others as 0.
[0073] 2) Walk outward from node A, assuming that the probability of going out from node A is α, then the probability of staying at node A is 1-α, and node a will get the degree of association with respect to A 1*α*1 / 2. At this time, because the degree of association of other nodes is 0, the degree of association of node a is 1*α*1 / 2. In the same way, it can be obtained that the final association degree of node c is also 1*α*1 / 2, and at this time, the association degree of node A itself is 1-α. The first iteration ends.
[0074] 3) In the second iteration, in addition to node A, a and c also have correlation degrees. Starting from these nodes, continue to walk, calculate the correlation degrees of other nodes, and repeat the above process, because each time starts from Node A starts, so when it ends, node A should add 1-α.
[0075] 4) When iterating to a certain number of times,...
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