docs/concepts/evaluation

[giscus[bot]]

docs/concepts/evaluation

Evaluation To estimate the performance of a recommender system, evaluation is needed. Gorse provides both online evaluation and offline evaluation. Online Evaluation The target of a recommender system is to maximize the probability every user like recommended items. Thus, the metric for online evaluation is the positive feedback rate

https://gorse.io/docs/concepts/evaluation.html

[agtabesh]

Using recall only, as a metric, for evaluation is not useful because you could recommend the whole items so that recall would be equal to 1. so recall and precision simultaneously could be informative. Considering f1-score, which is a combination of recall and precision, could be far better to be used in recommendation engines.