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- research-articleOctober 2023
printf: Preference Modeling Based on User Reviews with Item Images and Textual Information via Graph Learning
CIKM '23: Proceedings of the 32nd ACM International Conference on Information and Knowledge ManagementPages 1431–1440https://doi.org/10.1145/3583780.3615012Nowadays, modern recommender systems usually leverage textual and visual contents as auxiliary information to predict user preference. For textual information, review texts are one of the most popular contents to model user behaviors. Nevertheless, ...
- research-articleApril 2023Honorable Mention
Analyzing Accessibility Reviews Associated with Visual Disabilities or Eye Conditions
- Alberto Dumont Alves Oliveira,
- Paulo Sérgio Henrique Dos Santos,
- Wilson Estécio Marcílio Júnior,
- Wajdi M Aljedaani,
- Danilo Medeiros Eler,
- Marcelo Medeiros Eler
CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing SystemsArticle No.: 37, Pages 1–14https://doi.org/10.1145/3544548.3581315Accessibility reviews collected from app stores may contain valuable information for improving apps accessibility. Recent studies have presented insightful information on accessibility reviews, but they were based on small datasets and focused on general ...
- research-articleJanuary 2023
Deep recommendation system based on knowledge graph and review text
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology (JIFS), Volume 45, Issue 5Pages 7661–7673https://doi.org/10.3233/JIFS-230584With the explosive increase of information, recommendation system is applied in a variety of areas. However, the performance of recommendation system is limited due to issues such as data sparsity, cold starts and poor semantic understanding. In order to ...
- research-articleNovember 2022
Demystifying “removed reviews” in iOS app store
ESEC/FSE 2022: Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software EngineeringPages 1489–1499https://doi.org/10.1145/3540250.3558966The app markets enable users to submit feedback for downloaded apps in the form of star ratings and text reviews, which are meant to be helpful and trustworthy for decision making to both developers and other users. App markets have released strict ...
- research-articleOctober 2022
Are user reviews useful for identifying accessibility issues that autistic users face?: an exploratory study
IHC '22: Proceedings of the 21st Brazilian Symposium on Human Factors in Computing SystemsArticle No.: 6, Pages 1–11https://doi.org/10.1145/3554364.3559114Google Play Store offers several user reviews that can provide data on aspects of user experience, usability, and accessibility. Several studies address the importance of user reviews and their contributions to the evolution of interactive systems. ...
- research-articleMay 2021
Finding the Needle in a Haystack: On the Automatic Identification of Accessibility User Reviews
CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing SystemsArticle No.: 387, Pages 1–15https://doi.org/10.1145/3411764.3445281In recent years, mobile accessibility has become an important trend with the goal of allowing all users the possibility of using any app without many limitations. User reviews include insights that are useful for app evolution. However, with the ...
- research-articleOctober 2019
Do Android app users care about accessibility?: an analysis of user reviews on the Google play store
IHC '19: Proceedings of the 18th Brazilian Symposium on Human Factors in Computing SystemsArticle No.: 23, Pages 1–11https://doi.org/10.1145/3357155.3358477Mobile applications (or apps) have become a popular platform to provide users with information, digital content and services. Unfortunately, many studies have shown that even popular mobile applications still have many accessibility issues. A particular ...
- short-paperOctober 2017
Exploring Unsupervised Learning Towards Extractive Summarization of User Reviews
WebMedia '17: Proceedings of the 23rd Brazillian Symposium on Multimedia and the WebPages 217–220https://doi.org/10.1145/3126858.3131583Mobile app reviews are important as a crowdsource to improve the quality of these softwares. App stores, which have app reviews, provide a wealth of information derived from users. These information help developers to fix bugs and implement new features ...
- research-articleSeptember 2017
Mining User Reviews for Mobile App Comparisons
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Volume 1, Issue 3Article No.: 75, Pages 1–15https://doi.org/10.1145/3130935As the number of mobile apps keeps increasing, users often need to compare many apps, in order to choose one that best fits their needs. Fortunately, as there are so many users sharing an app market, it is likely that some other users with the same ...
- research-articleApril 2017
Beyond the Stars: Towards a Novel Sentiment Rating to Evaluate Applications in Web Stores of Mobile Apps
- Phillipe Rodrigues,
- Ismael Santana Silva,
- Glívia Angélica Rodigues Barbosa,
- Flávio Roberto dos Santos Coutinho,
- Fernando Mourão
WWW '17 Companion: Proceedings of the 26th International Conference on World Wide Web CompanionPages 109–117https://doi.org/10.1145/3041021.3054139This paper proposes an approach to evaluate mobile applications which complements the information provided by the number of stars and downloads in app stores. The goal is to provide novel information to assist users in the decision-making process ...
- research-articleFebruary 2014
Age differences in credibility judgments of online health information
ACM Transactions on Computer-Human Interaction (TOCHI), Volume 21, Issue 1Article No.: 2, Pages 1–23https://doi.org/10.1145/2534410Older adults are a notable group among the exponentially growing population of online health information consumers. In order to better support older adults’ health-related information seeking on the Internet, it is important to understand how they judge ...
- research-articleJanuary 2012
Age differences in credibility judgment of online health information
IHI '12: Proceedings of the 2nd ACM SIGHIT International Health Informatics SymposiumPages 353–362https://doi.org/10.1145/2110363.2110404To better support older adults' consumption of high quality health information on the Internet, it is important to understand how older adults make credibility judgments with online health information. For this purpose, we conducted two laboratory ...
- ArticleOctober 2011
Integrated architecture for product information and user review on the web
ICOSSSE'11: Proceedings of the 10th WSEAS international conference on System science and simulation in engineeringPages 240–244Rapid spread of smart devices including smart phone, tablet pc changes decision processes of product purchasing. Today, customers compare the price of a product and find reviews of the product on the Internet using the smart devices. However, the ...
- abstractMay 2011
How user reviews influence older and younger adults' credibility judgments of online health information
CHI EA '11: CHI '11 Extended Abstracts on Human Factors in Computing SystemsPages 893–898https://doi.org/10.1145/1979742.1979520A laboratory study was conducted to explore whether user reviews, a common Web 2.0 feature on healthcare website, would have differential influence on younger and older adults' judgment of information credibility. We found that when credibility cues in ...
- ArticleApril 2010
Recommended or Not Recommended? Review Classification through Opinion Extraction
APWEB '10: Proceedings of the 2010 12th International Asia-Pacific Web ConferencePages 350–352https://doi.org/10.1109/APWeb.2010.38With the rapid growth of web 2.0, online product reviews generated by users are becoming increasingly useful for customers to make purchase decisions. In this paper, we focus on the problem of classifying user reviews as recommended the product or not. ...
- articleJanuary 2010
The Role of User Review on Information System Project Outcomes: A Control Theory Perspective
International Journal of Information Technology Project Management (IJITPM-IGI), Volume 1, Issue 1Pages 1–14https://doi.org/10.4018/jitpm.2010100201The effect of user participation on system success is one of the most studied topics in information systems, yet still yields inconclusive results. Contingency-based concepts attempt to resolve this issue by providing a plausible explanation which ...
- research-articleAugust 1985
Analysis and Design in MSG.84: Formalizing Functional Specifications
IEEE Transactions on Software Engineering (ISOF), Volume 11, Issue 8Pages 657–670https://doi.org/10.1109/TSE.1985.232516Model building is identified as the most important part of the analysis and design process for software systems. A set of primitives to support this process is presented, along with a formal language, MSG.84, for recording the results of analysis and ...