Yashar Deldjoo | DeepAI

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∙ 03/28/2023

Machine-learned Adversarial Attacks against Fault Prediction Systems in Smart Electrical Grids

In smart electrical grids, fault detection tasks may have a high impact ...

2 Carmelo Ardito, et al. ∙

∙ 09/04/2022

Interactive Question Answering Systems: Literature Review

Question answering systems are recognized as popular and frequently effe...

23 Giovanni Maria Biancofiore, et al. ∙

∙ 07/23/2022

Exploring the Impact of Temporal Bias in Point-of-Interest Recommendation

Recommending appropriate travel destinations to consumers based on conte...

0 Hossein A. Rahmani, et al. ∙

∙ 05/23/2022

A Survey of Research on Fair Recommender Systems

Recommender systems can strongly influence which information we see onli...

8 Yashar Deldjoo, et al. ∙

∙ 04/17/2022

CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender Systems

Recently, there has been a rising awareness that when machine learning (...

12 Mohammadmehdi Naghiaei, et al. ∙

∙ 02/27/2022

The Unfairness of Active Users and Popularity Bias in Point-of-Interest Recommendation

Point-of-Interest (POI) recommender systems provide personalized recomme...

0 Hossein A. Rahmani, et al. ∙

∙ 02/06/2022

A Review of Modern Fashion Recommender Systems

The textile and apparel industries have grown tremendously over the last...

0 Yashar Deldjoo, et al. ∙

∙ 10/08/2021

Simulations for novel problems in recommendation: analyzing misinformation and data characteristics

In this position paper, we discuss recent applications of simulation app...

0 Alejandro Bellogín, et al. ∙

∙ 07/29/2021

Understanding the Effects of Adversarial Personalized Ranking Optimization Method on Recommendation Quality

Recommender systems (RSs) employ user-item feedback, e.g., ratings, to m...

0 Vito Walter Anelli, et al. ∙

∙ 07/25/2021

Content-driven Music Recommendation: Evolution, State of the Art, and Challenges

The music domain is among the most important ones for adopting recommend...

0 Yashar Deldjoo, et al. ∙

∙ 12/15/2020

FedeRank: User Controlled Feedback with Federated Recommender Systems

Recommender systems have shown to be a successful representative of how ...

0 Vito Walter Anelli, et al. ∙

∙ 10/03/2020

Multi-Step Adversarial Perturbations on Recommender Systems Embeddings

Recommender systems (RSs) have attained exceptional performance in learn...

0 Vito Walter Anelli, et al. ∙

∙ 08/17/2020

How to Put Users in Control of their Data via Federated Pair-Wise Recommendation

Recommendation services are extensively adopted in several user-centered...

0 Vito Walter Anelli, et al. ∙

∙ 07/17/2020

Prioritized Multi-Criteria Federated Learning

In Machine Learning scenarios, privacy is a crucial concern when models ...

0 Vito Walter Anelli, et al. ∙

∙ 05/20/2020

Adversarial Machine Learning in Recommender Systems: State of the art and Challenges

Latent-factor models (LFM) based on collaborative filtering (CF), such a...

1 Yashar Deldjoo, et al. ∙

∙ 08/29/2019

Towards Evaluating User Profiling Methods Based on Explicit Ratings on Item Features

In order to improve the accuracy of recommendations, many recommender sy...

0 Luca Luciano Costanzo, et al. ∙

∙ 08/21/2019

Assessing the Impact of a User-Item Collaborative Attack on Class of Users

Collaborative Filtering (CF) models lie at the core of most recommendati...

0 Yashar Deldjoo, et al. ∙

∙ 08/20/2019

Towards Effective Device-Aware Federated Learning

With the wealth of information produced by social networks, smartphones,...

0 Vito Walter Anelli, et al. ∙

∙ 08/19/2019

Recommender Systems Fairness Evaluation via Generalized Cross Entropy

Fairness in recommender systems has been considered with respect to sens...

0 Yashar Deldjoo, et al. ∙

∙ 07/31/2019

Session-Based Hotel Recommendations: Challenges and Future Directions

In the year 2019, the Recommender Systems Challenge deals with a real-wo...

0 Jens Adamczak, et al. ∙

∙ 10/09/2017

Current Challenges and Visions in Music Recommender Systems Research

Music recommender systems (MRS) have experienced a boom in recent years,...

0 Markus Schedl, et al. ∙

∙ 04/20/2017

Using Mise-En-Scène Visual Features based on MPEG-7 and Deep Learning for Movie Recommendation

Item features play an important role in movie recommender systems, where...

0 Yashar Deldjoo, et al. ∙

∙ 07/30/2016

Sparse vs. Non-sparse: Which One Is Better for Practical Visual Tracking?

Recently, sparse representation based visual tracking methods have attra...

0 Yashar Deldjoo, et al. ∙