query: Why the maximum sparsity is 99.5% in collaborative filtering?
positive_passages.docid: 152099
positive_passages.text: Amount and sparsity of data for recommender systems
negative_passages.docid: 81983
negative_passages.text: Variable coefficient rises, then falls as lambda decreases (LASSO)
negative_passages.docid: 104131
negative_passages.text: LASSO: selection of penalty term: "one-standard-error" rule
negative_passages.docid: 105536
negative_passages.text: Understanding the shape of confidence interval for polynomial regression (MLR)
negative_passages.docid: 94368
negative_passages.text: How many "Recommend Close" votes is too many?
negative_passages.docid: 40236
negative_passages.text: SVM - hard or soft margins?
negative_passages.docid: 67290
negative_passages.text: Can trusted users be trusted to suggest tag synonyms without a score of 5 in a tag? (on smaller sites, not Stack Overflow)
negative_passages.docid: 113046
negative_passages.text: Coefficients and significance of lasso/ridge
negative_passages.docid: 74614
negative_passages.text: KKT versus unconstrained formulation of lasso regression
negative_passages.docid: 35306
negative_passages.text: How to choose $\alpha$ in cost-complexity pruning?
negative_passages.docid: 119016
negative_passages.text: Why does polynomial factorization generalize to matrices
negative_passages.docid: 144918
negative_passages.text: Lasso features selection through Crossvalidation
negative_passages.docid: 36335
negative_passages.text: When wouldn't I use LASSO for model selection?
negative_passages.docid: 118331
negative_passages.text: How to interpret margin of error in a non-binary poll?
negative_passages.docid: 3013
negative_passages.text: Why does the Lasso provide Variable Selection?
negative_passages.docid: 29411
negative_passages.text: Why P>0.5 cutoff is not "optimal" for logistic regression?
negative_passages.docid: 148032
negative_passages.text: Consistency strength of the "club ultrafilter"