How product review voting is influenced by existing votes, consumer involvement, review valence, and review diagnosticity
Websites that allow consumers to post online reviews often allow others to signal the value of the reviews by voting for them as being helpful (i.e., an upvote) or unhelpful (i.e., a downvote). Although a review's content should drive ...
Highlights
- Previous upvotes/downvotes of a review influence how future consumers vote.
- ...
Human-machine collaboration for feature selection and integration to improve congestive Heart failure risk prediction
The issue of harnessing machine learning (ML) algorithms for the prediction of adverse medical events is important considering the prevalence of vast repositories of patient-level medical data, and the quest to reduce healthcare costs ...
Improved healthcare disaster decision-making utilizing information extraction from complementary social media data during the COVID-19 pandemic
Managing an extreme event like a healthcare disaster requires accurate information about the event's circumstances to comprehend the full consequences of acting. However, information quality is rarely optimal since it takes time to ...
Highlights
- A combination of heterogeneous data leveraging the inherent complementarity.
- ...
How do you say it matters? A multimodal analytics framework for product return prediction in live streaming e-commerce
As a new shopping paradigm, live streaming e-commerce has undergone rapid development in recent years. However, a higher return rate than that of traditional e-commerce not only affects the consumption experience of users but also is ...
Highlights
- We innovatively explore how the signals of products and anchors influence product returns in live streaming e-commerce.
Driving risk prevention in usage-based insurance services based on interpretable machine learning and telematics data
Usage-based insurance (UBI) adjusts premiums based on an individual policyholder’s dynamic risk evaluation, incentivizing policyholders to maintain safe driving behavior in pursuit of a lower insurance premium. Although post-trip ...
An analytical citizen relation management system (CZRM) for social vulnerability mapping and policy recommendation in Brazil
- Lara Sucupira Furtado,
- Gustavo Moura,
- Daniel J.R. Vasconcelos,
- Guilherme Sales Fernandes,
- Lívia Almada Cruz,
- Regis Pires Magalhães,
- Ticiana L. Coelho da Silva
The emerging field of Citizen Relationship Management has shown promise to combine data analytics and intuitive digital platforms to help public managers interpret citizen-driven data and draw out appropriate policy. However, research ...
Improved learning performance for small datasets in high dimensions by new dual-net model for non-linear interpolation virtual sample generation
The number of reliable samples obtained in early decision-making activity is usually relatively small. Due to variable distribution and incomplete structure of tiny datasets, it is challenging to create reliable and robust predictive ...
Graphical abstractDisplay Omitted
Highlights
- The small dataset problem is an important issue in enterprises and academia.
- A ...
