Abstract item recommender class, that loads the training data into two sparse matrices: one column-wise and one row-wise
Declaring type: Memory
Namespace: MyMediaLite.ItemRecommender
Assembly: MyMediaLite
Collapse/Expand Protected Fields
  Name Description
Protected Field data_item Implicit feedback, item-wise
Protected Field data_user Implicit feedback, user-wise
Collapse/Expand Protected Constructors
  Name Description
Protected Method Memory

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Collapse/Expand Public Methods
  Name Description
Public Method Virtual AddFeedback

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Public Method Virtual AddItem

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Public Method Virtual AddUser

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Public Method Abstract LoadModel

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Public Method Abstract Predict

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Public Method Virtual RemoveFeedback

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Public Method Virtual RemoveItem

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Public Method Virtual RemoveUser

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Public Method Abstract SaveModel

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Public Method SetCollaborativeData Set the collaborative training data
Public Method Abstract Train

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Collapse/Expand Public Properties
  Name Description
Public Property MaxItemID Maximum item ID
Public Property MaxUserID Maximum user ID