adding position weight wrongness#8
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TEAM NAME: GB
This PR introduce a new metric which measure the wrongness accounts for position difference.
For each pairwise comparison, we penalize from three aspect
Similarity: if the two vector are similar
Position: top results get bigger penalty
Position difference: recommendation more away from actual label gets bigger penalty