Recommender systems are widely used to provide personalized recommendati...
This study presents an innovative approach to the application of large
l...
Our research investigates the potential of Large-scale Language Models
(...
Point-of-Interest (POI ) recommendation systems have gained popularity f...
In smart electrical grids, fault detection tasks may have a high impact ...
Question answering systems are recognized as popular and frequently effe...
Recommending appropriate travel destinations to consumers based on conte...
Recommender systems can strongly influence which information we see onli...
Recently, there has been a rising awareness that when machine learning (...
Point-of-Interest (POI) recommender systems provide personalized
recomme...
The textile and apparel industries have grown tremendously over the last...
In this position paper, we discuss recent applications of simulation
app...
Recommender systems (RSs) employ user-item feedback, e.g., ratings, to m...
The music domain is among the most important ones for adopting recommend...
Recommender systems have shown to be a successful representative of how ...
Recommender systems (RSs) have attained exceptional performance in learn...
Recommendation services are extensively adopted in several user-centered...
In Machine Learning scenarios, privacy is a crucial concern when models ...
Latent-factor models (LFM) based on collaborative filtering (CF), such a...
In order to improve the accuracy of recommendations, many recommender sy...
Collaborative Filtering (CF) models lie at the core of most recommendati...
With the wealth of information produced by social networks, smartphones,...
Fairness in recommender systems has been considered with respect to sens...
In the year 2019, the Recommender Systems Challenge deals with a real-wo...
Music recommender systems (MRS) have experienced a boom in recent years,...
Item features play an important role in movie recommender systems, where...
Recently, sparse representation based visual tracking methods have attra...