sisinflab/X-LOD

Stars
1
Language
CSS
License
MIT License
Created over 9 years ago
Updated over 9 years ago

sisinflab/X-LOD

sisinflab

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

A Content Management System to edit and publish your Linked Open Data. X-LOD has been inspired by the Wikidata project with RDF data and triplestores in mind.

elliot

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

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.

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.

amlrecsys-tutorial

Tutorial by Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia and Felice Antonio Merra about Adversarial Machine Learning in Recommender Systems

KGFlex

Official implementation of the paper "Sparse Feature Factorization for Recommender Systems with Knowledge Graphs"

Reenvisioning-the-comparison-between-Neural-Collaborative-Filtering-and-Matrix-Factorization

lodreclib

lodreclib is a Java library to build recommendation engines which exploit the information encoded in Linked (Open) Data datasets.

recsys2021-pursuing-privacy

Material supporting the tutorial "Pursuing Privacy in Recommender Systems: The View of Users and Researchers from Regulations to Applications" held at the 15th ACM Conference on Recommender Systems in Amsterdam, Netherlands

Jupyter Notebook

SEMAUTO-2.0

Semantics-Aware Autoencoder Neural Network

FedBPR

Official implementation of the papers "User-controlled federated matrix factorization for recommender systems" and "FedeRank: User Controlled Feedback with Federated Recommender Systems"

HandsOn-ECIR2021

LoG-2023-GNNs-RecSys

Presented as tutorial at the Second Learning on Graphs Conference (LoG 2023)

Jupyter Notebook

SEMAUTO

A Java framework to build semantics-aware autoencoder neural network from a knowledge-graph.

Graph-RSs-Reproducibility

Accepted as reproducibility paper at RecSys 2023.

Recommender-ChatGPT

The official source code and datasets for the paper titled "Evaluating ChatGPT as a Recommender System: A Rigorous Approach"

Formal-MultiMod-Rec

Formalizing Multimedia Recommendation through Multimodal Deep Learning, accepted in ACM Transactions on Recommender Systems.

Ducho

Python framework to extract multimodal features for multimodal recommendation in a highly-customizable way.

Agent-Based-Artificial-Intelligence

Codes for hands-on lessons

Jupyter Notebook

Top-N-Recommendation-Algorithms-A-Quest-for-the-State-of-the-Art

This is the official repository of the paper Top-N Recommendation Algorithms: A Quest for the State of the Art

recommenders

Recommender Systems algorithms implementations

LinkedDatasets

interactive-question-answering-systems-survey

A collection of work regarding Interactive Question Answering System standing over 10 years.

Visual-Adversarial-Recommendation

we present an evaluation framework, named Visual Adversarial Recommender (\var), to empirically investigate the performance of defended or undefended DNNs in various visually-aware item recommendation tasks.

Multimodal-Feature-Extractor

A Python implementation to extract multimodal features (visual and textual).

KGTORe

Official implementation of the paper "KG-TORE: Tailored recommendations through knowledge-aware GNN models" accepted at RecSys 2023

Content-Style-VRSs

Official implementation of the paper "Leveraging Content-Style Item Representation for Visual Recommendation" accepted at ECIR 2022

losm

Linked Open Street Map - a middleware to query OSM via SPARQL queries

TimePOP

TimePop is a simple and efficient algorithm that combines the notion of personalized popularity and temporal aspects.

Augmented-and-Linked-Open-Datasets-for-Recommendation

Interpretability-of-BERT-Latent-Space-through-Knowledge-Graphs

Here we present the code we implemented to interpret and explain the BERT language model through the latent space it generates. The work identifies a feasibility study of analyzing BERT's latent semantic space using a knowledge graph.

MultiMod-Popularity-Bias

Accepted as full paper at MMIR @ ACM Multimedia 2023

dlpreferences

Reasoning with preferences in Description Logics

simlib

A Java framework for semantic similarity and relatedness metrics for Knowledge Graphs

DatasetsSplits

This is a collection of splittings of publicly available Datasets. This collection has been created for two main purposes:

iir2021

IIR 2021 | 11th Italian Information Retrieval Workshop

ClientAware-FL

TAaMR

Targeted Adversarial Attack against Multimedia Recommender Systems (TAaMR) at DSML2020

The-importance-of-being-dissimilar-in-Recommendation

Similarity measures play a fundamental role in memory-based nearest neighbors approaches. They recommend items to a user based on the similarity of either items or users in a neighborhood. In this paper we argue that, although it keeps a leading importance in computing recommendations, similarity between users or items should be paired with a value of dissimilarity (computed not just as the complement of the similarity one). We formally modeled and injected this notion in some of the most used similarity measures and evaluated our approach showing its effectiveness in terms of accuracy results.

Graph-Characteristics

qalib

Edge-Graph-Collaborative-Filtering

Accepted as full paper at DL4SR@CIKM2022

HybridFactorizationMachines

SAC2017

Code and results for the paper : "Schema-summarization in Linked-Data-based feature selection for recommender systems"

CNNs-in-VRSs

In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops

poldo

A tool for exposing the deep Web in the Linked Data cloud

anna

Vocal Assistant / Chatbot Anna to explore Puglia Digital Library

ECIR2023-Graph-CF

Accepted as full paper at ECIR 2023

X-LOD-Lookup

RecMOE

A library to compute Pareto fronts and evaluate them using Quality Indicators (QIs) for Recommender Systems

fondamenti-web-2023-2024

Soluzioni complete per le esercitazioni di Fondamenti del Web

Features-Factorization

Features-Factorization and Feature Spreading Relevance (Knowledge-aware Recommender Systems)

The-Idiosyncratic-Effects-of-Adversarial-Training

Code and Data for the #RecSys2021 article "The Idiosyncratic Effects of Adversarial Training on Bias in Personalized Recommendation Learning".

LHider

Topology-Graph-Collaborative-Filtering

Perceptual-Rec-Mutation-of-Adv-VRs

Accepted at WDSC@NeurIPS2020

Graph-Demo

Accepted as demo paper at UMAP 2023

ISWC2017

MSAP

In this work, we extend the FGSM method proposing multistep adversarial perturbation (MSAP) procedures to study the recommenders’ robustness under powerful methods. Letting fixed the perturbation magnitude, we illustrate that MSAP is much more harmful than FGSM in corrupting the recommendation performance of BPR-MF.

KGUF

Multimodal-RSs-Reproducibility

poldo-client