Pinned Repositories
recsys-datasets
A link to repositories with datasets useful for recommendation tasks
recsys-evaluation-frameworks
A link to frameworks useful for the evaluation and reproducibility of recorecommendation algorithms
adversarial-recommender-systems-survey
The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-dimensional) data distributions. In this survey, we provide an exhaustive literature review of 74 articles published in major RS and ML journals and conferences. This review serves as a reference for the RS community, working on the security of RS or on generative models using GANs to improve their quality.
amlrecsys-tutorial
Tutorial by Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia and Felice Antonio Merra about Adversarial Machine Learning in Recommender Systems
elliot
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
lodreclib
lodreclib is a Java library to build recommendation engines which exploit the information encoded in Linked (Open) Data datasets.
LODrecsys-datasets
Here, we provide mappings to DBpedia resources of items in well known datasets to evaluate recommender systems. This can allows practitioners in the field to evaluate and compare their algorithms with existing approaches.
SEMAUTO
A Java framework to build semantics-aware autoencoder neural network from a knowledge-graph.
SEMAUTO-2.0
Semantics-Aware Autoencoder Neural Network
angular.js
HTML enhanced for web apps
tommasodinoia's Repositories
tommasodinoia/angular.js
HTML enhanced for web apps