Optimized Spark recall_at_k time performance #1796
Merged
+8
−3
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Description
Optimized time performance of recall_at_k() in Spark evaluation metrics.
The function is tested on the MovieLens 20m dataset with 138,493 users, and with TOP_K = 50 recommendations generated for each user. The time cost of evaluating the recall of the recommendations is reduced from 6.99s to 1.09s, indicating a 7x performance improvement.
Related Issues
Checklist:
staging branch
and not tomain branch
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