Fairness in recommender systems: research landscape and future directions
Recommender systems can strongly influence which information we see online, eg, on
social media, and thus impact our beliefs, decisions, and actions. At the same time, these …
social media, and thus impact our beliefs, decisions, and actions. At the same time, these …
Exploring gender biases in ML and AI academic research through systematic literature review
Automated systems that implement Machine learning (ML) and Artificial Intelligence (AI)
algorithms present promising solutions to a variety of technological and non-technological …
algorithms present promising solutions to a variety of technological and non-technological …
More than Machines: The Role of the Future Retail Salesperson in Enhancing the Customer Experience
Retail sales has consistently faced threats by technology throughout history, with the recent
advent of Artificial Intelligence (AI) posing the most recent challenge. It is often said that …
advent of Artificial Intelligence (AI) posing the most recent challenge. It is often said that …
Fairness in recommendation: A survey
As one of the most pervasive applications of machine learning, recommender systems are
playing an important role on assisting human decision making. The satisfaction of users and …
playing an important role on assisting human decision making. The satisfaction of users and …
[HTML][HTML] Explaining recommender systems fairness and accuracy through the lens of data characteristics
The impact of data characteristics on the performance of classical recommender systems
has been recently investigated and produced fruitful results about the relationship they have …
has been recently investigated and produced fruitful results about the relationship they have …
Fairness in recommendation: Foundations, methods, and applications
As one of the most pervasive applications of machine learning, recommender systems are
playing an important role on assisting human decision-making. The satisfaction of users and …
playing an important role on assisting human decision-making. The satisfaction of users and …
[PDF][PDF] Recommender systems under European AI regulations
Framework for AI), the EC aims at introducing the first comprehensive legal framework on AI,
which will identify specific risks for AI, provide a collection of high-risk application domains …
which will identify specific risks for AI, provide a collection of high-risk application domains …
WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models
Large pretrained language models (LMs) have become the central building block of many
NLP applications. Training these models requires ever more computational resources and …
NLP applications. Training these models requires ever more computational resources and …
Analyzing item popularity bias of music recommender systems: are different genders equally affected?
Several studies have identified discrepancies between the popularity of items in user
profiles and the corresponding recommendation lists. Such behavior, which concerns a …
profiles and the corresponding recommendation lists. Such behavior, which concerns a …
Improving recommendation fairness via data augmentation
Collaborative filtering based recommendation learns users' preferences from all users'
historical behavior data, and has been popular to facilitate decision making. Recently, the …
historical behavior data, and has been popular to facilitate decision making. Recently, the …