How is the final metric Recall @ K computed?
Is it a mean of (Relevant_Items_Recommended in top-k) / (Relevant_Items) for each query, where Relevant_Items for each test query = 1
The overall performance is computed by taking the average of Recall@10 and Recall@50 on the three fashion categories
Posted by: yupenggao @ Sept. 24, 2019, 3:29 p.m.Yes :) my question is how the individual recall@10 and recall@50 are computed ?
E.g for Recall@50 , is it (# of correct guesses present in ranking) / length of test set ?
Posted by: IvonaTau @ Sept. 24, 2019, 3:45 p.m.Oh, For that, we provided evaluation script in challenge information page. You can take a look. https://codalab.lri.fr/competitions/573#learn_the_details-evaluation
Posted by: yupenggao @ Sept. 24, 2019, 3:58 p.m.