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Name: Information Systems Lab @ Polytechnic University of Bari
Type: Organization
Location: Bari, Italy
Name: Information Systems Lab @ Polytechnic University of Bari
Type: Organization
Location: Bari, Italy
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.
Codes for hands-on lessons
Tutorial by Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia and Felice Antonio Merra about Adversarial Machine Learning in Recommender Systems
Vocal Assistant / Chatbot Anna to explore Puglia Digital Library
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops
Official implementation of the paper "Leveraging Content-Style Item Representation for Visual Recommendation" accepted at ECIR 2022
This is a collection of splittings of publicly available Datasets. This collection has been created for two main purposes:
Reasoning with preferences in Description Logics
Python framework to extract multimodal features for multimodal recommendation in a highly-customizable way.
Accepted as full paper at ECIR 2023
Accepted as full paper at DL4SR@CIKM2022
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
Features-Factorization and Feature Spreading Relevance (Knowledge-aware Recommender Systems)
Official implementation of the papers "User-controlled federated matrix factorization for recommender systems" and "FedeRank: User Controlled Feedback with Federated Recommender Systems"
Soluzioni complete per le esercitazioni di Fondamenti del Web
Formalizing Multimedia Recommendation through Multimodal Deep Learning, accepted in ACM Transactions on Recommender Systems.
This project allows to evaluate your submissions for past editions of Google HashCode.
Accepted as demo paper at UMAP 2023
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.