Rating and perceived helpfulness in a bipartite network of online product reviews

P Campos, E Pinto, A Torres - Electronic Commerce Research, 2023 - Springer
In many e-commerce platforms user communities share product information in the form of
reviews and ratings to help other consumers to make their choices. This study develops a …

Online app review analysis for identifying emerging issues

C Gao, J Zeng, MR Lyu, I King - … of the 40th International Conference on …, 2018 - dl.acm.org
Detecting emerging issues (eg, new bugs) timely and precisely is crucial for developers to
update their apps. App reviews provide an opportunity to proactively collect user complaints …

Personalized review recommendation based on users' aspect sentiment

C Huang, W Jiang, J Wu, G Wang - ACM Transactions on Internet …, 2020 - dl.acm.org
Product reviews play an important role in guiding users' purchase decision-making in e-
commerce platforms. However, it is challenging for users to find helpful reviews that meet …

Can a Machine Generate a Meta-Review? How Far Are We?

PK Bharti, A Kumar, T Ghosal, M Agrawal… - … Conference on Text …, 2022 - Springer
A meta-review usually written by the editor of a journal or the area/program chair in a
conference is a summary of the peer-reviews and a concise interpretation of the …

Experience report: Understanding cross-platform app issues from user reviews

Y Man, C Gao, MR Lyu, J Jiang - 2016 IEEE 27th international …, 2016 - ieeexplore.ieee.org
App developers publish apps on different platforms, such as Google Play, App Store, and
Windows Store, to maximize the user volumes and potential revenues. Due to the different …

Query-based summarization using MDL principle

M Litvak, N Vanetik - Proceedings of the multiling 2017 workshop …, 2017 - aclanthology.org
Query-based text summarization is aimed at extracting essential information that answers
the query from original text. The answer is presented in a minimal, often predefined, number …

Recommendation of high quality representative reviews in e-commerce

D Paul, S Sarkar, M Chelliah, C Kalyan… - Proceedings of the …, 2017 - dl.acm.org
Many users of e-commerce portals commonly use customer reviews for making purchase
decisions. But a product may have tens or hundreds of diverse reviews leading to …

Anomaly detection for diagnosis

RA Maxion - Digest of Papers. Fault-Tolerant Computing: 20th …, 1990 - computer.org
App developers publish apps on different platforms, such as Google Play, App Store, and
Windows Store, to maximize the user volumes and potential revenues. Due to the different …

Sentiment analysis of application user feedback in Bahasa Indonesia using multinomial naive bayes

GP Wiratama, A Rusli - 2019 5th International Conference on …, 2019 - ieeexplore.ieee.org
User feedback can be used as a tool for application developers to find out and understand
users' needs, preferences, and complaints. Developers need to identify problems that arise …

[PDF][PDF] An Analysis of Mobile Food Delivery App'Baemin'by Using Text Mining and ARIMA Model

JH Jung, HI Chung, ZK Lee - Journal of Digital Contents Society, 2021 - journal.dcs.or.kr
As the mobile application market is growing rapidly, the number of application downloads
and reviews are increasing as well. Developers want to detect and improve service issues …