Details
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Improvement
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Status: Closed
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Major
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Resolution: Fixed
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0.5
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None
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None
Description
When using a weighted sum for preference estimation on boolean data, the predicted preferences can only be 1 or NaN which is mathematically correct but not very useful for ranking them. The distributed recommender should therefore adapt the behavior of GenericBooleanPrefItemBasedRecommender in that case: use the sums of similarities to rank the recommended items.