[HTML][HTML] A/B testing: A systematic literature review

F Quin, D Weyns, M Galster, CC Silva - Journal of Systems and Software, 2024 - Elsevier
A/B testing, also referred to as online controlled experimentation or continuous
experimentation, is a form of hypothesis testing where two variants of a piece of software are …

Sizeflags: reducing size and fit related returns in fashion e-commerce

A Nestler, N Karessli, K Hajjar, R Weffer… - Proceedings of the 27th …, 2021 - dl.acm.org
E-commerce is growing at an unprecedented rate and the fashion industry has recently
witnessed a noticeable shift in customers' order behaviour towards stronger online …

Usersim: User simulation via supervised generativeadversarial network

X Zhao, L Xia, L Zou, H Liu, D Yin, J Tang - Proceedings of the Web …, 2021 - dl.acm.org
With the recent advances in Reinforcement Learning (RL), there have been tremendous
interests in employing RL for recommender systems. However, directly training and …

User‐centered approaches in software development processes: Qualitative research into the practice of Hungarian companies

B Szabó, K Hercegfi - Journal of Software: Evolution and …, 2023 - Wiley Online Library
Integrating user‐centered approaches into development processes is one of the main
challenges nowadays that derives from different objectives of software engineering (SE) and …

Enhancing conversational agents for successful operation: A multi-perspective evaluation approach for continuous improvement

T Lewandowski, E Kučević, S Leible, M Poser… - Electronic Markets, 2023 - Springer
Contemporary organizations increasingly adopt conversational agents (CAs) as intelligent
and natural language-based solutions for providing services and information. CAs offer new …

“It takes a village”: on UX librarianship and building UX capacity in libraries

CM MacDonald - Journal of Library Administration, 2017 - Taylor & Francis
With growing interest in applying user experience (UX) methods to improve library
interfaces, spaces, and services, it is critical to gain a deeper understanding of the …

Enabling personalized video quality optimization with vidhoc

X Zhang, P Schmitt, M Chetty, N Feamster… - arXiv preprint arXiv …, 2022 - arxiv.org
The emerging video applications greatly increase the demand in network bandwidth that is
not easy to scale. To provide higher quality of experience (QoE) under limited bandwidth, a …

Adaptive and automated deep recommender systems

X Zhao - ACM SIGWEB Newsletter, 2022 - dl.acm.org
Dr. Xiangyu Zhao is an assistant professor of the school of data science at City University of
Hong Kong (CityU). Prior to CityU, he completed his PhD (2021) at MSU under the advisory …

Intellitag: An intelligent cloud customer service system based on tag recommendation

M Yang, S Cao, B Hu, X Chen, H Cui… - 2021 IEEE 37th …, 2021 - ieeexplore.ieee.org
To reduce the customer service pressure of small and medium-sized enterprises, we
propose an intelligent cloud customer service system, called IntelliTag. Unlike traditional …

Datasets for online controlled experiments

CH Liu, Â Cardoso, P Couturier, EJ McCoy - arXiv preprint arXiv …, 2021 - arxiv.org
Online Controlled Experiments (OCE) are the gold standard to measure impact and guide
decisions for digital products and services. Despite many methodological advances in this …