This paper presents the winning system for the zero-shot Spanish framing...
Recent research has suggested different metrics to measure the inconsist...
We present evidence for the existence and effectiveness of adversarial
a...
User-based KNN recommender systems (UserKNN) utilize the rating data of ...
In this position paper, we discuss the merits of simulating privacy dyna...
Several studies have identified discrepancies between the popularity of ...
Providing suitable recommendations is of vital importance to improve the...
Recent work has shown that graph neural networks (GNNs) are vulnerable t...
Music recommender systems have become an integral part of music streamin...
In this paper, we explore the reproducibility of MetaMF, a meta matrix
f...
Graph Neural Networks (GNNs) are effective in many applications. Still, ...
Music preferences are strongly shaped by the cultural and socio-economic...
In this work, we study the utility of graph embeddings to generate laten...
In this paper, we introduce a psychology-inspired approach to model and
...
In this paper, we present our work to support publishers and editors in
...
This work addresses the problem of providing and evaluating recommendati...
In our work [KPL17], we study temporal usage patterns of Twitter hashtag...
Music recommender systems have become central parts of popular streaming...
In this work, we present the findings of an online study, where we explo...
User-based Collaborative Filtering (CF) is one of the most popular appro...
Recommender systems have become important tools to support users in
iden...
In this work, we propose a content-based recommendation approach to incr...
The micro-blogging platform Twitter allows its nearly 320 million monthl...
In this paper, we present work-in-progress on applying user pre-filterin...
In this paper, we present preliminary results of AFEL-REC, a recommender...
User-based Collaborative Filtering (CF) is one of the most popular appro...
In this paper, we study the imbalance between current state-of-the-art t...
In this paper, we present the results of an online study with the aim to...
In this work, we address the problem of recommending jobs to university
...