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09/17/2023
Fairness for All: Investigating Harms to Within-Group Individuals in Producer Fairness Re-ranking Optimization – A Reproducibility Study
Recommender systems are widely used to provide personalized recommendati...
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08/17/2023
ChatGPT-HealthPrompt. Harnessing the Power of XAI in Prompt-Based Healthcare Decision Support using ChatGPT
This study presents an innovative approach to the application of large l...
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07/14/2023
Fairness of ChatGPT and the Role Of Explainable-Guided Prompts
Our research investigates the potential of Large-scale Language Models (...
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06/20/2023
CAPRI: Context-Aware Interpretable Point-of-Interest Recommendation Framework
Point-of-Interest (POI ) recommendation systems have gained popularity f...
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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 ...
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09/04/2022
Interactive Question Answering Systems: Literature Review
Question answering systems are recognized as popular and frequently effe...
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07/23/2022
Exploring the Impact of Temporal Bias in Point-of-Interest Recommendation
Recommending appropriate travel destinations to consumers based on conte...
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05/23/2022
A Survey of Research on Fair Recommender Systems
Recommender systems can strongly influence which information we see onli...
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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 (...
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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...
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02/06/2022
A Review of Modern Fashion Recommender Systems
The textile and apparel industries have grown tremendously over the last...
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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...
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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...
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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...
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12/15/2020
FedeRank: User Controlled Feedback with Federated Recommender Systems
Recommender systems have shown to be a successful representative of how ...
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10/03/2020
Multi-Step Adversarial Perturbations on Recommender Systems Embeddings
Recommender systems (RSs) have attained exceptional performance in learn...
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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...
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07/17/2020
Prioritized Multi-Criteria Federated Learning
In Machine Learning scenarios, privacy is a crucial concern when models ...
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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...
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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...
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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...
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08/20/2019
Towards Effective Device-Aware Federated Learning
With the wealth of information produced by social networks, smartphones,...
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08/19/2019
Recommender Systems Fairness Evaluation via Generalized Cross Entropy
Fairness in recommender systems has been considered with respect to sens...
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07/31/2019
Session-Based Hotel Recommendations: Challenges and Future Directions
In the year 2019, the Recommender Systems Challenge deals with a real-wo...
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10/09/2017
Current Challenges and Visions in Music Recommender Systems Research
Music recommender systems (MRS) have experienced a boom in recent years,...
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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...
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07/30/2016
