Results.md

Baseline Popularity

Model	Dataset	EvaluationSet	meanAveragePrecisionAtK	precisionAtK	ndcgAtK	recallAtK	RMSE	MAE
Baseline (basic)	ml-latest-small	val	0.1674	0.2657	0.3071	0.2146	2.8901	2.6847
Baseline (basic)	ml-latest-small	test	0.1332	0.2497	0.3097	0.2513	2.7168	2.5017
Baseline (enhanced)	ml-latest-small	val	0.1162	0.2306	0.2797	0.1875	0.9102	0.7173
Baseline (enhanced)	ml-latest-small	val	0.1053	0.2125	0.2581	0.2077	0.9265	0.7279

ALS Model

We tried the following hypermeters: regularizationParams = [.01, .05, .1, .2] latentRanks = [10, 50, 100, 150]

data	map@K	precision@K	ndcg@K	recall@K	RMSE	MAE
small	0.0039	0.0454	0.0413	0.0163	0.9631	0.7525
large	0.0021	0.0338	0.0253	0.0099	0.861	0.6797

LightFM

Dataset	evalset	precision@K	auc	recall@K	reciprocal rank
small	train	0.3366	0.9979	0.4642	0.7111
small	test	0.0448	0.8943	0.2395	0.1609
large	train	0.3918	0.9617	0.0616	0.82
large	test	0.0311	0.8538	0.0311	0.278