[[["容易理解","easyToUnderstand","thumb-up"],["確實解決了我的問題","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["缺少我需要的資訊","missingTheInformationINeed","thumb-down"],["過於複雜/步驟過多","tooComplicatedTooManySteps","thumb-down"],["過時","outOfDate","thumb-down"],["翻譯問題","translationIssue","thumb-down"],["示例/程式碼問題","samplesCodeIssue","thumb-down"],["其他","otherDown","thumb-down"]],["上次更新時間:2024-07-26 (世界標準時間)。"],[[["Collaborative filtering leverages similarities between users and items to provide recommendations, unlike content-based filtering."],["This method allows for serendipitous recommendations by suggesting items based on the preferences of similar users."],["Collaborative filtering models can automatically learn embeddings, eliminating the need for manual feature engineering."],["These embeddings represent users and items in a shared space where their proximity reflects similarity and preference."],["Training these models involves optimizing embeddings to align with user feedback, bringing similar users and preferred items closer together in the embedding space."]]],[]]