UPS

Ruining He, Julian McAuley

Building a successful recommender system depends on understanding both the dimensions of people's preferences as well as their dynamics. In certain domains, such as fashion, modeling such preferences can be incredibly difficult, due to the need to simultaneously model the visual appearance of products as well as their evolution over time. The subtle semantics and non-linear dynamics of fashion evolution raise unique challenges especially considering the sparsity and large scale of the underlying datasets. In this paper we build novel models for the One-Class Collaborative Filtering setting, where our goal is to estimate users' fashion-aware personalized ranking functions based on their past feedback. To uncover the complex and evolving visual factors that people consider when evaluating products, our method combines high-level visual features extracted from a deep convolutional neural network, users' past feedback, as well as evolving trends within the community. Experimentally we evaluate our method on two large real-world datasets from Amazon.com, where we show it to outperform state-of-the-art personalized ranking measures, and also use it to visualize the high-level fashion trends across the 11-year span of our dataset.

E. Pantano, Gabriele Pizzi, Daniele Scarpi, C. Dennis

The COVID-19 pandemic (that started in early 2020) is causing several disruptions in the short- and mid-term, to which businesses have to adapt. Some retailers have reacted to the emergency immediately, displaying a plethora of different intervention types. The authors aim to synthesize the challenges that retailers are facing during the COVID-19 emergency. We do this from the perspective of both consumers and managers, with the goal of providing guidelines on and examples of how retailers can handle this unprecedented situation.

Midas Nouwens, Ilaria Liccardi, Michael Veale, David R Karger, Lalana Kagal

New consent management platforms (CMPs) have been introduced to the web to conform with the EU's General Data Protection Regulation, particularly its requirements for consent when companies collect and process users' personal data. This work analyses how the most prevalent CMP designs affect people's consent choices. We scraped the designs of the five most popular CMPs on the top 10,000 websites in the UK (n=680). We found that dark patterns and implied consent are ubiquitous; only 11.8% meet our minimal requirements based on European law. Second, we conducted a field experiment with 40 participants to investigate how the eight most common designs affect consent choices. We found that notification style (banner or barrier) has no effect; removing the opt-out button from the first page increases consent by 22-23 percentage points; and providing more granular controls on the first page decreases consent by 8-20 percentage points. This study provides an empirical basis for the necessary regulatory action to enforce the GDPR, in particular the possibility of focusing on the centralised, third-party CMP services as an effective way to increase compliance.

M. Henry, Thomas Bauwens, M. Hekkert, J. Kirchherr

The circular economy (CE) concept is much-heralded among policy-makers, scholars and industry professionals as an accelerated pathway towards sustainability. This move away from the dominant linear system where products are discarded at the end of product lifecycle is deemed necessary since it is the main cause of an accelerated resource consumption. Business models are considered as a key enabler for the shift from a linear to a CE. However, research on circular business models has mainly focused on circular approaches adopted by incumbent firms, while the contributions of newly established firms (the authors call these ’circular start-ups’) have been largely overlooked. This article scrutinises the business models of circular start-ups and how they may differ from those of incumbent firms embracing CE. For this, it analyses the circular business model strategies and innovations adopted by circular start-ups, relying on a novel data sample of 128 circular start-ups identified in three major CE ecosystems in Europe: the Randstad region in the Netherlands, Berlin and London. Based on this data, a novel typology of circular start-ups is proposed, distinguishing between five circular start-up archetypes: design-based, waste-based, platform-based, service-based and nature-based start-ups. The results also show that circular start-ups tend to embrace strategies corresponding to higher levels of circularity than those of incumbents. This preliminarily suggests that circular start-ups can indeed make major contributions to transitioning towards CE.

Jinyoung Park, Jinhong Cho, E. J. Song

The ubiquitin–proteasome system (UPS) plays an important role in the cellular processes for protein quality control and homeostasis. Dysregulation of the UPS has been implicated in numerous diseases, including cancer. Indeed, components of UPS are frequently mutated or abnormally expressed in various cancers. Since Bortezomib, a proteasome inhibitor, received FDA approval for the treatment of multiple myeloma and mantle cell lymphoma, increasing numbers of researchers have been seeking drugs targeting the UPS as a cancer therapeutic strategy. Here, we introduce the essential component of UPS, including ubiquitinating enzymes, deubiquitinating enzymes and 26S proteasome, and we summarize their targets and mechanisms that are crucial for tumorigenesis. In addition, we briefly discuss some UPS inhibitors, which are currently in clinical trials as cancer therapeutics.