BPR¶
- Reference:
Steffen Rendle et al. “BPR: Bayesian Personalized Ranking from Implicit Feedback.” in UAI 2009.
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class
recbole.model.general_recommender.bpr.BPR(config, dataset)[source]¶ Bases:
recbole.model.abstract_recommender.GeneralRecommenderBPR is a basic matrix factorization model that be trained in the pairwise way.
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calculate_loss(interaction)[source]¶ Calculate the training loss for a batch data.
- Parameters
interaction (Interaction) – Interaction class of the batch.
- Returns
Training loss, shape: []
- Return type
torch.Tensor
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forward(user, item)[source]¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Moduleinstance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
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full_sort_predict(interaction)[source]¶ full sort prediction function. Given users, calculate the scores between users and all candidate items.
- Parameters
interaction (Interaction) – Interaction class of the batch.
- Returns
Predicted scores for given users and all candidate items, shape: [n_batch_users * n_candidate_items]
- Return type
torch.Tensor
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get_item_embedding(item)[source]¶ Get a batch of item embedding tensor according to input item’s id.
- Parameters
item (torch.LongTensor) – The input tensor that contains item’s id, shape: [batch_size, ]
- Returns
The embedding tensor of a batch of item, shape: [batch_size, embedding_size]
- Return type
torch.FloatTensor
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get_user_embedding(user)[source]¶ Get a batch of user embedding tensor according to input user’s id.
- Parameters
user (torch.LongTensor) – The input tensor that contains user’s id, shape: [batch_size, ]
- Returns
The embedding tensor of a batch of user, shape: [batch_size, embedding_size]
- Return type
torch.FloatTensor
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input_type= 2¶
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predict(interaction)[source]¶ Predict the scores between users and items.
- Parameters
interaction (Interaction) – Interaction class of the batch.
- Returns
Predicted scores for given users and items, shape: [batch_size]
- Return type
torch.Tensor
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