Loading Data

RSs experiments could require different data sources such as user-item feedback or additional side information,e.g., the visual features of an item images. To fulfill these requirements, Elliot comes with different implementations of the Loading module. Additionally, the user can design computationally expensive prefiltering and splitting procedures that can be stored and loaded to save future computation. Data-driven extensions can handle additional data like visual features, and semantic features extracted from knowledge graphs. Once a side-information-aware Loading module is chosen, it filters out the items devoiding the required information to grant a fair comparison.

It is possible to enable a specific Loader by inserting the field side_information and passing:

• dataloader the name of a specific loader

• a list of possible file or folder which get side information accordingly to loader

An example can be:

experiment:
  data_config:
    strategy: fixed
    train_path: this/is/the/path.tsv
    test_path: this/is/the/path.tsv
    side_information:
        - dataloader: FeatureLoader1
        map: this/is/the/path.tsv