Elliot
stable

GET STARTED

  • Introduction
  • Install Elliot
  • Quick Start
  • Release Notes

RUNNING EXPERIMENTS

  • Configuration file
  • Data Preparation

ALGORITHMS

  • Summary of the Recommendation Algorithms
  • Hyperparameter Optimization
  • Early Stopping
  • Create a new Recommendation Model
  • Recommendation Models
    • Adversarial Learning
    • Algebric
    • Autoencoders
    • Content-Based
    • Generative Adversarial Networks (GANs)
    • Graph-based
    • Knowledge-aware
    • Latent Factor Models
    • Artificial Neural Networks
    • Neighborhood-based Models
    • Unpersonalized Recommenders
    • Visual Models

EXTENDING ELLIOT

  • Loaders
  • Recommendation Models
    • Adversarial Learning
    • Algebric
    • Autoencoders
    • Content-Based
    • Generative Adversarial Networks (GANs)
    • Graph-based
    • Knowledge-aware
    • Latent Factor Models
    • Artificial Neural Networks
    • Neighborhood-based Models
    • Unpersonalized Recommenders
    • Visual Models

EVALUATION

  • Metrics
  • Metrics Summary
  • Evaluation of recommendation files

API REFERENCE

  • elliot package
  • elliot.dataset package
  • elliot.evaluation package
  • elliot.namespace package
  • elliot.hyperoptimization package
  • elliot.prefiltering package
  • elliot.recommender package
  • elliot.result_handler package
  • elliot.splitter package
  • elliot.utils package
Elliot
  • »
  • Recommendation Models
  • Edit on GitHub

Recommendation Models¶

  • Adversarial Learning
  • Algebric
  • Autoencoders
  • Content-Based
  • Generative Adversarial Networks (GANs)
  • Graph-based
  • Knowledge-aware
  • Latent Factor Models
  • Artificial Neural Networks
  • Neighborhood-based Models
  • Unpersonalized Recommenders
  • Visual Models
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© Copyright 2021, Vito Walter Anelli, Alejandro Bellogín, Antonio Ferrara, Daniele Malitesta, Felice Antonio Merra, Claudio Pomo, Tommaso Di Noia. Revision 641100a8.

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