Package es.uam.eps.ir.ranksys.metrics.basic

Implementations of basic, common metrics.

See: Description

Class Summary

Class	Description
AveragePrecision<U,I>	Average Precision: average of the precision at each recall level.
AverageRecommendationMetric<U,I>	Average of a recommendation metric: system metric based on the arithmetic mean of a recommendation metric for a set of users' recommendations.
NDCG<U,I>	Normalized Discounted Cumulative Gain metric.
NDCG.NDCGRelevanceModel<U,I>	Relevance model for nDCG, in which the gains of all relevant documents need to be known for the normalization of the metric.
NumRetrieved<U,I>	Number of recommended items.
Precision<U,I>	Precision metric: proportion of relevant items in a recommendation list.
Recall<U,I>	Recall metric: proportion of relevant items in a recommendation list to all relevant items.
ReciprocalRank<U,I>	Reciprocal Rank (RR, also known as MRR when averaged over queries/users).
Recommendability<U,I>	Recommendability: binary metric that determines whether the user receives a non-empty recommendation or not.

Package es.uam.eps.ir.ranksys.metrics.basic Description

Implementations of basic, common metrics.