Challenges and research opportunities in ecommerce search and recommendations

M Tsagkias, TH King, S Kallumadi, V Murdock… - ACM Sigir Forum, 2021 - dl.acm.org
With the rapid adoption of online shopping, academic research in the eCommerce domain
has gained traction. However, significant research challenges remain, spanning from classic …

The effects of explainability and causability on perception, trust, and acceptance: Implications for explainable AI

D Shin - International journal of human-computer studies, 2021 - Elsevier
Artificial intelligence and algorithmic decision-making processes are increasingly criticized
for their black-box nature. Explainable AI approaches to trace human-interpretable decision …

'It's Reducing a Human Being to a Percentage' Perceptions of Justice in Algorithmic Decisions

R Binns, M Van Kleek, M Veale, U Lyngs… - Proceedings of the …, 2018 - dl.acm.org
Data-driven decision-making consequential to individuals raises important questions of
accountability and justice. Indeed, European law provides individuals limited rights …

News recommender systems: A programmatic research review

E Mitova, S Blassnig, E Strikovic, A Urman… - Annals of the …, 2023 - Taylor & Francis
News recommender systems (NRS) are becoming a ubiquitous part of the digital media
landscape. Particularly in the realm of political news, the adoption of NRS can significantly …

On the relation of trust and explainability: Why to engineer for trustworthiness

L Kästner, M Langer, V Lazar… - 2021 IEEE 29th …, 2021 - ieeexplore.ieee.org
Recently, requirements for the explainability of software systems have gained prominence.
One of the primary motivators for such requirements is that explainability is expected to …

Democratizing algorithmic news recommenders: how to materialize voice in a technologically saturated media ecosystem

J Harambam, N Helberger… - … Transactions of the …, 2018 - royalsocietypublishing.org
The deployment of various forms of AI, most notably of machine learning algorithms,
radically transforms many domains of social life. In this paper we focus on the news industry …

[图书][B] Algorithms, humans, and interactions: how do algorithms interact with people? Designing meaningful AI experiences

DD Shin - 2023 - books.google.com
Amidst the rampant use of algorithmization enabled by AI, the common theme of AI systems
is the human factor. Humans play an essential role in designing, developing, and …

Machine learning explanations to prevent overtrust in fake news detection

S Mohseni, F Yang, S Pentyala, M Du, Y Liu… - Proceedings of the …, 2021 - ojs.aaai.org
Combating fake news and misinformation propagation is a challenging task in the post-truth
era. News feed and search algorithms could potentially lead to unintentional large-scale …

Why does my model fail? contrastive local explanations for retail forecasting

A Lucic, H Haned, M de Rijke - Proceedings of the 2020 Conference on …, 2020 - dl.acm.org
In various business settings, there is an interest in using more complex machine learning
techniques for sales forecasting. It is difficult to convince analysts, along with their superiors …

Nudging towards news diversity: A theoretical framework for facilitating diverse news consumption through recommender design

N Mattis, P Masur, J Möller… - New Media & …, 2024 - journals.sagepub.com
Growing concern about the democratic impact of automatically curated news platforms urges
us to reconsider how such platforms should be designed. We propose a theoretical …