[[["Facile da capire","easyToUnderstand","thumb-up"],["Il problema è stato risolto","solvedMyProblem","thumb-up"],["Altra","otherUp","thumb-up"]],[["Mancano le informazioni di cui ho bisogno","missingTheInformationINeed","thumb-down"],["Troppo complicato/troppi passaggi","tooComplicatedTooManySteps","thumb-down"],["Obsoleti","outOfDate","thumb-down"],["Problema di traduzione","translationIssue","thumb-down"],["Problema relativo a esempi/codice","samplesCodeIssue","thumb-down"],["Altra","otherDown","thumb-down"]],["Ultimo aggiornamento 2025-01-13 UTC."],[[["Recommendation systems predict which items a user will like based on their past behavior and preferences."],["These systems use a multi-stage process: identifying potential items (candidate generation), evaluating their relevance (scoring), and refining the order of presentation (re-ranking)."],["Embeddings play a key role in representing items and user queries, facilitating comparisons for recommendations."],["Two primary approaches for recommendation are content-based filtering (using item features) and collaborative filtering (using user similarities)."],["Deep learning techniques enhance traditional methods like matrix factorization, enabling more complex and accurate recommendations."]]],[]]