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Littérature scientifique sur le sujet « User reviews »

Auteur : Grafiati

Publié le 4 juin 2021

Mis à jour le 26 juillet 2025

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Articles de revues sur le sujet "User reviews"

Hussain, Jamil, Zahra Azhar, Hafiz Farooq Ahmad, Muhammad Afzal, Mukhlis Raza, and Sungyoung Lee. "User Experience Quantification Model from Online User Reviews." Applied Sciences 12, no. 13 (2022): 6700. http://dx.doi.org/10.3390/app12136700.

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Due to the advancement in information technology and the boom of micro-blogging platforms, a growing number of online reviews are posted daily on product distributed platforms in the form of spontaneous and insightful user feedback, and these can be used as a significant data source to understand user experience (UX) and satisfaction. However, despite the vast amount of online reviews, the existing literature focuses on online ratings and ignores the real textual context in reviews. We proposed a three-step UX quantification model from online reviews to understand customer satisfaction using t

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Zhou, Wenqi, and Wenjing Duan. "Do Professional Reviews Affect Online User Choices Through User Reviews? An Empirical Study." Journal of Management Information Systems 33, no. 1 (2016): 202–28. http://dx.doi.org/10.1080/07421222.2016.1172460.

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Santiago, Mara Taynar, and Anna Beatriz Marques. "Exploring user reviews to identify accessibility problems in applications for autistic users." Journal on Interactive Systems 14, no. 1 (2023): 317–30. http://dx.doi.org/10.5753/jis.2023.3238.

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The Google Play Store provides various user reviews that can provide information about user experience, usability, and accessibility. Despite multiple studies addressing these reviews’ importance and contributions to improving interactive systems, accessibility for users with Autism Spectrum Disorder (ASD) is still little discussed in this context. Considering the potential of user reviews, this article presents a textual analysis of reviews extracted from eight educational applications available in Portuguese with a focus on autistic children, namely: “ABC Autismo”, “Aprendendo com Biel e seu

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J.S, Ravikumar, Narayana Reddy T, and Syed Mohammad Ghouse. "“User Generated Reviews and Business Promotions”." International Journal of Psychosocial Rehabilitation 24, no. 02 (2020): 1619–29. http://dx.doi.org/10.37200/ijpr/v24i2/pr200464.

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Wang, Bingkun, Bing Chen, Li Ma, and Gaiyun Zhou. "User-Personalized Review Rating Prediction Method Based on Review Text Content and User-Item Rating Matrix." Information 10, no. 1 (2018): 1. http://dx.doi.org/10.3390/info10010001.

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With the explosive growth of product reviews, review rating prediction has become an important research topic which has a wide range of applications. The existing review rating prediction methods use a unified model to perform rating prediction on reviews published by different users, ignoring the differences of users within these reviews. Constructing a separate personalized model for each user to capture the user’s personalized sentiment expression is an effective attempt to improve the performance of the review rating prediction. The user-personalized sentiment information can be obtained n

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Alnusyan, Ruba, Ruba Almotairi, Sarah Almufadhi, Amal A. Al-Shargabi, and Jowharah F. Alshobaili. "Hybrid Approach for User Reviews' Text Analysis and Visualization: A Case Study of Amazon User Reviews." International Journal of Interactive Mobile Technologies (iJIM) 16, no. 08 (2022): 79–93. http://dx.doi.org/10.3991/ijim.v16i08.30169.

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Nowadays, many people prefer to purchase through online websites. Usually, those people start with reading user reviews and comments before making a purchase decision. The user reviews are considered powerful sources of information about products, in which users share opinions and previous experiences on using these products. However, these reviews are mostly textual and uncategorized. Thus, new customers need to read a massive amount of reviews, one by one, to make a decision. This study attempts to bridge this gap and proposes a hybrid approach of topic modeling that combines supervised and

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Mcfarlane, G. W. P. "Book Reviews : User-Friendl y tHeology." Expository Times 110, no. 9 (1999): 303. http://dx.doi.org/10.1177/001452469911000924.

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Carey, Tom. "Video reviews: USER INTERFACE STRATEGIES '88." ACM SIGCHI Bulletin 21, no. 2 (1989): 128–30. http://dx.doi.org/10.1145/70609.1047718.

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Trivedi, Shrawan Kumar, and Shubhamoy Dey. "Analysing user sentiment of Indian movie reviews." Electronic Library 36, no. 4 (2018): 590–606. http://dx.doi.org/10.1108/el-08-2017-0182.

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Purpose To be sustainable and competitive in the current business environment, it is useful to understand users’ sentiment towards products and services. This critical task can be achieved via natural language processing and machine learning classifiers. This paper aims to propose a novel probabilistic committee selection classifier (PCC) to analyse and classify the sentiment polarities of movie reviews. Design/methodology/approach An Indian movie review corpus is assembled for this study. Another publicly available movie review polarity corpus is also involved with regard to validating the re

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Thèses sur le sujet "User reviews"

Jagithyala, Anirudh. "Recommending recipes based on ingredients and user reviews." Thesis, Kansas State University, 2014. http://hdl.handle.net/2097/18154.

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Master of Science Department of Computing and Information Sciences Doina Caragea In recent years, the content volume and number of users of the Web have increased dramatically. This large amount of data has caused an information overload problem, which hinders the ability of a user to find the relevant data at the right time. Therefore, the primary task of recommendation systems is to analyze data in order to offer users suggestions for similar data. Recommendations which use the core content are known as content-based recommendation or content filtering, and recommendations which

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Wang, Ji. "Clustered Layout Word Cloud for User Generated Online Reviews." Thesis, Virginia Tech, 2012. http://hdl.handle.net/10919/19193.

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User generated reviews, like those found on Yelp and Amazon, have become important refer- ence material in casual decision making, like dining, shopping and entertainment. However, very large amounts of reviews make the review reading process time consuming. A text visualization can speed up the review reading process. In this thesis, we present the clustered layout word cloud -- a text visualization that quickens decision making based on user generated reviews. We used a natural language processing approach, called grammatical dependency parsing, to analyze user generated review co

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Konstantinova, Natalia. "Knowledge acquisition from user reviews for interactive question answering." Thesis, University of Wolverhampton, 2013. http://hdl.handle.net/2436/297401.

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Nowadays, the effective management of information is extremely important for all spheres of our lives and applications such as search engines and question answering systems help users to find the information that they need. However, even when assisted by these various applications, people sometimes struggle to find what they want. For example, when choosing a product customers can be confused by the need to consider many features before they can reach a decision. Interactive question answering (IQA) systems can help customers in this process, by answering questions about products and initiatin

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Zhang, Xuan. "Product Defect Discovery and Summarization from Online User Reviews." Diss., Virginia Tech, 2018. http://hdl.handle.net/10919/85581.

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Product defects concern various groups of people, such as customers, manufacturers, government officials, etc. Thus, defect-related knowledge and information are essential. In keeping with the growth of social media, online forums, and Internet commerce, people post a vast amount of feedback on products, which forms a good source for the automatic acquisition of knowledge about defects. However, considering the vast volume of online reviews, how to automatically identify critical product defects and summarize the related information from the huge number of user reviews is challenging, even whe

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Hassan, Ehab. "Event-Based Recognition Of Lived : Experiences In User Reviews." Thesis, Sorbonne Paris Cité, 2017. http://www.theses.fr/2017USPCD021/document.

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La quantité de contenu généré par l'utilisateur sur le Web croît à un rythme rapide.Une grande partie de ce contenu est constituée des opinions et avis sur des produits et services. Vu leur impact, ces avis sont un facteur important dans les décisions concernant l'achat de ces produits ou services. Les utilisateurs ont tendance à faire confiance aux autres utilisateurs, surtout s'ils peuvent se comparer à ceux qui ont écrit les avis, ou, en d'autres termes, ils sont confiants de partager certaines caractéristiques. Par exemple, les familles préféreront voyager dans les endroits qui ont été rec

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Sherwani, Dara. "What makes reviews trustworthy? : an investigation of user trust in online reviews when making purchase decisions." Thesis, City, University of London, 2016. http://openaccess.city.ac.uk/15408/.

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With the growing number of systems that provide user-generated reviews the relationship between users and vendors, particularly unfamiliar vendors, is changing. Users are increasingly using online reviews for assessing vendors’ services prior to purchasing them. However, users might be uncertain how much to trust reviews because most users are unfamiliar with reviewers and reviews might not be credible. Thus, it is becoming increasingly important to understand which reviews are trusted by users when they make purchase decisions and why. Previous work has suggested that factors of the review an

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Dahlgren, Sara, Amelie Johnson, and Caroline Liljenberg. "Online Reviews - What Motivates You? : A qualitative study of Customers' Motivation to Write Online Reviews." Thesis, Linnéuniversitetet, Institutionen för marknadsföring (MF), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-44501.

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Background: To understand the consumers’ motivation to write online reviews is of importance, especially for companies since a large number of reviews have a positive influence on sales. Previous research has been done regarding what motivate consumers to provide user generated content, online word of mouth and also, to some extent, online reviews. However, these studies have primarily been adopted in a quantitative manner. To explore, from customers’ own perspective, the motivation to write online reviews is therefore valuable to add depth to the existing literature. Purpose: The purpose of t

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Zifla, Ermira. "Three Essays on Social and Economic Effects of User-Generated Content." Diss., Temple University Libraries, 2018. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/509966.

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Business Administration/Management Information Systems D.B.A. In this dissertation, I investigate how online social interactions and user-generated content affect sellers and consumers in online platforms. I conduct three empirical studies to understand the effect of user-generated content in three different types of online platforms: (1) an e-commerce marketplace, (2) an online reviews platform, and (3) an online health community. In study one, I examine how social features (e.g., following others, sharing others’ products) within an electronic commerce marketplace affect status and sal

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Svensson, Kristoffer. "Sentiment Analysis With Convolutional Neural Networks : Classifying sentiment in Swedish reviews." Thesis, Linnéuniversitetet, Institutionen för datavetenskap (DV), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-64768.

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Today many companies exist and market their products and services on social medias, and therefore may receive reviews and thoughts from their end-users directly in these social medias. Reading every text by hand can be time-consuming, so by analysing the sentiment for all texts give the companies an overview how positive or negative the users are on a specific subject. Sentiment analysis is a feature that Beanloop AB is interested in implementing in their future projects and this thesis research problem was to investigate how deep learning could be used for this task. It was done by conducting

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Kelley, Sharon M. "The Influence of Social Media| Effects of Online User-Generated Reviews on Customers' Perceptions and Business Profitability." Thesis, Capella University, 2019. http://pqdtopen.proquest.com/#viewpdf?dispub=13427927.

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Online customer reviews (OCRs) have become an important part of the customer’s shopping experience. The purpose of this qualitative exploratory single-case study was to investigate and better understand, how customers’ perceptions and experiences shared on OCRs or other social media outlets affected business revenue generation and profitability. The OCR phenomenon was explored from the consumer’s perspective. The healthcare industry, private-practice sector was used as a case subject. However, business operations, not the field of medicine, was the focus of this study. Du

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Livres sur le sujet "User reviews"

Lewis, Jane. EQFM excellence model: User handbook and guide for service reviews in local government. Woodward Lewis, 1999.

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Management, Office for Public. Joint reviews of social services departments: A framework for evaluating user and carer involvement. [The Office?], 1994.

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Foundation, British Quality, ed. The EFQM excellence model: User handbook and guide for service reviews in local government. Woodward Lewis, 1999.

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Jarvis, Robin. Users and uses of unlisted companies' financial statements: A literature review. Institute of Chartered Accountants in England and Wales, 1996.

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K, Luke Nancy, and Intelligent Buildings Institute Foundation, eds. Global protocol review & end-user needs analysis. The Foundation, 1993.

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Coley, John A. User authentication: A state-of-the-art review. Naval Postgraduate School, 1991.

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Stone, Sue. A review of user related research in humanities information. Consultancy and Research Unit, Department of Information Studies, University of Sheffield, 1985.

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Stone, Sue. A review of user related research in humanities information. University of Sheffield, Department of Information Studies,Consultancy and Research Unit, 1985.

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Stone, Sue. A review of user related research in humanities information. Consultancy and Research Unit, Dept. of Information Studies, University of Sheffield, 1985.

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Canada. Treasury Board. Evaluation, Audit and Review Group, ed. Review of the cost recovery and user fee approval process. Treasury Board of Canada, 1996.

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Chapitres de livres sur le sujet "User reviews"

Almishari, Mishari, and Gene Tsudik. "Exploring Linkability of User Reviews." In Computer Security – ESORICS 2012. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33167-1_18.

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Muhammad, Azam Sheikh, Peter Damaschke, and Olof Mogren. "Summarizing Online User Reviews Using Bicliques." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-49192-8_46.

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Terzi, Maria, Matthew Rowe, Maria-Angela Ferrario, and Jon Whittle. "Text-Based User-kNN: Measuring User Similarity Based on Text Reviews." In User Modeling, Adaptation, and Personalization. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08786-3_17.

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Lu, Yao, Xiangfei Kong, Xiaojun Quan, Wenyin Liu, and Yinlong Xu. "Exploring the Sentiment Strength of User Reviews." In Web-Age Information Management. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14246-8_46.

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Buitinck, Lars, Jesse van Amerongen, Ed Tan, and Maarten de Rijke. "Multi-emotion Detection in User-Generated Reviews." In Lecture Notes in Computer Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16354-3_5.

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Ryang, Heungmo, and Unil Yun. "Ranking Book Reviews Based on User Discussion." In Lecture Notes in Electrical Engineering. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-40675-1_2.

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Yun, Unil, and Heungmo Ryang. "Ranking Book Reviews Based on User Influence." In Lecture Notes in Electrical Engineering. Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-6738-6_17.

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Zhu, Miaoqi, and Xiaowen Fang. "Developing Playability Heuristics for Computer Games from Online Reviews." In Design, User Experience, and Usability. Theories, Methods, and Tools for Designing the User Experience. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07668-3_48.

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Pumpurs, Alberts. "User Journey Map as a Method to Extrapolate User Experience Knowledge from User Generated Reviews." In Lecture Notes in Business Information Processing. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-16947-2_14.

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Rossetti, Marco, Fabio Stella, Longbing Cao, and Markus Zanker. "Analysing User Reviews in Tourism with Topic Models." In Information and Communication Technologies in Tourism 2015. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-14343-9_4.

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Actes de conférences sur le sujet "User reviews"

Yeboah, Jones, and Saheed Popoola. "Analyzing User Sentiments Towards Static Analysis Tools: A Study Using User Reviews." In 2024 IEEE 2nd International Conference on Artificial Intelligence, Blockchain, and Internet of Things (AIBThings). IEEE, 2024. https://doi.org/10.1109/aibthings63359.2024.10863289.

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Meng, Xinfan, and Houfeng Wang. "Mining user reviews." In the ACL-IJCNLP 2009 Conference Short Papers. Association for Computational Linguistics, 2009. http://dx.doi.org/10.3115/1667583.1667637.

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Ciurumelea, Adelina, Sebastiano Panichella, and Harald C. Gall. "Automated user reviews analyser." In ICSE '18: 40th International Conference on Software Engineering. ACM, 2018. http://dx.doi.org/10.1145/3183440.3194988.

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Hale, Scott A. "User Reviews and Language." In CHI'16: CHI Conference on Human Factors in Computing Systems. ACM, 2016. http://dx.doi.org/10.1145/2851581.2892466.

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Habib, Anam, Furqan Khan Saddozai, Anum Sattar, Aurangzeb Khan, Ibrahim A. Hameed, and Fazal Masud Kundi. "User Intention Mining in Bussiness Reviews: A Review." In 2018 5th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC). IEEE, 2018. http://dx.doi.org/10.1109/besc.2018.8697303.

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Zhao, Feifei, Qizhi Qiu, and Wenyan Zhou. "A User Classification Solution Based on Users' Reviews." In 2014 13th International Symposium on Distributed Computing and Applications to Business, Engineering and Science (DCABES). IEEE, 2014. http://dx.doi.org/10.1109/dcabes.2014.53.

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Feng, Xingjie, Yunze Zeng, and Yixiong Xu. "Recommendation Algorithm for Federated User Reviews and Item Reviews." In the 2018 International Conference. ACM Press, 2018. http://dx.doi.org/10.1145/3293663.3293667.

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Merdenyan, Burak, and Helen Petrie. "User Reviews of Gamepad Controllers." In CHI PLAY '15: The annual symposium on Computer-Human Interaction in Play. ACM, 2015. http://dx.doi.org/10.1145/2793107.2810332.

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Tripathy, Amiya Kumar, Revathy Sundararajan, Chinmay Deshpande, Pankaj Mishra, and Neha Natarajan. "Opinion mining from user reviews." In 2015 International Conference on Technologies for Sustainable Development (ICTSD). IEEE, 2015. http://dx.doi.org/10.1109/ictsd.2015.7095904.

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Zeng, Fanxing. "Review rating model based on subjective vocabulary in user reviews." In International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023), edited by Valentina E. Balas and Zeashan Hameed Khan. SPIE, 2023. http://dx.doi.org/10.1117/12.2682344.

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Rapports d'organisations sur le sujet "User reviews"

Chevalier, Judith, Yaniv Dover, and Dina Mayzlin. Channels of Impact: User Reviews when Quality is Dynamic and Managers Respond. National Bureau of Economic Research, 2017. http://dx.doi.org/10.3386/w23299.

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Rashid, Kazi Harunur, and Wahid bin Ahsan. User Trust in E-Commerce through Product List Pages, Detail Pages, Reviews, and Security Features. Userhub, 2024. http://dx.doi.org/10.58947/journal.dmvq89.

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This study investigates how design elements on Product List Pages (PLPs) and Product Detail Pages (PDPs) impact user trust in e-commerce. Using a mixed-methods approach with 65 survey respondents and 22 interview participants, the research reveals that consistency in UI design, high-quality product images, detailed descriptions, verified customer reviews, and visible security features are critical in fostering user trust. Well-structured navigation, accurate product information, and robust security measures significantly enhance trust and influence purchasing decisions, while misleading produc

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Agarwal, Smisha, Madhu Jalan, Holly C. Wilcox, et al. Evaluation of Mental Health Mobile Applications. Agency for Healthcare Research and Quality (AHRQ), 2022. http://dx.doi.org/10.23970/ahrqepctb41.

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Background. Mental health mobile applications (apps) have the potential to expand the provision of mental health and wellness services to traditionally underserved populations. There is a lack of guidance on how to choose wisely from the thousands of mental health apps without clear evidence of safety, efficacy, and consumer protections. Purpose. This Technical Brief proposes a framework to assess mental health mobile applications with the aim to facilitate selection of apps. The results of applying the framework will yield summary statements on the strengths and limitations of the apps and ar

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Sharova, Iryna. WAYS OF PROMOTING UKRANIAN PUBLISHING HOUSES ON FACEBOOK DURING QUARANTINE. Ivan Franko National University of Lviv, 2021. http://dx.doi.org/10.30970/vjo.2021.49.11076.

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The article reviews and analyzes the promotion of Ukrainian publishing houses on Facebook during quarantine in 2020. The study’s main objective is content and its types, which were used for representing on Facebook. We found out that going live and posting a text with a picture was most popular. The phenomenon of live video is tightly connected to the quarantine phenomenon. Though, not every publishing house was able to go live permanently or at least regular. However, simple text with a picture is the most uncomplicated content to post and the most popular. Ukrainian publishers also use UGC (

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Atabey, Ayça, Cory Robinson, Anna Lindroos Cermakova, Andra Siibak, and Natalia Ingebretsen Kucirkova. Ethics in EdTech: Consolidating Standards For Responsible Data Handling And Usercentric Design. University in Stavanger, 2024. http://dx.doi.org/10.31265/usps.283.

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This report proposes aspirational principles for EdTech providers, emphasizing ethical practices, robust data protection, ownership rights, transparent consent processes, and active user engagement, particularly with children. These measures aim to enhance transparency, accountability, and trust in EdTech platforms. Focusing on the K12 sector, the report systematically reviews and integrates key academic, legal, and technical frameworks to propose ethical benchmarks for the EdTech industry. The benchmarks go beyond quality assurance, highlighting good practices and ethical leadership for the f

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Li, Lingxi, Yaobin Chen, Renren Tian, Feng Li, Howell Li, and James R. Sturdevant. An Integrated Critical Information Delivery Platform for Smart Segment Dissemination to Road Users. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317440.

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An integrated critical information delivery platform for smart segment dissemination to road users was developed. A statewide baseline milepost geodatabase was created at 0.1-mile resolution with tools, protocols, and interfaces that allow other data sources to be efficiently utilized. A variety of data sources (e.g., INRIX, CARS, Doppler, camera images, connected vehicle data, automated vehicle location) were integrated into existing and new dashboards for stakeholders to monitor roadway conditions and after-action reviews. Additionally, based on these data sources, algorithms were developed

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Scarpini, Celeste, Oyebola Okunogbe, and Fabrizio Santoro. The Promise and Limitations of Information Technology for Tax Mobilisation. Institute of Development Studies, 2023. http://dx.doi.org/10.19088/ictd.2023.005.

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As digital technologies continue gaining momentum in Africa and lower-income countries, more and more tax authorities are adopting them to improve their core functions and collect revenue more efficiently. This paper reviews recent literature on using technology for tax administration. Technology has the potential to improve tax collection in three areas: identifying the tax base, monitoring compliance, and facilitating compliance. But even the most user-friendly technology will hardly function without basic infrastructure and a stable internet connection. The potential benefits of new technol

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Murad, M. Hassan, Stephanie M. Chang, Celia Fiordalisi, et al. Improving the Utility of Evidence Synthesis for Decision Makers in the Face of Insufficient Evidence. Agency for Healthcare Research and Quality (AHRQ), 2021. http://dx.doi.org/10.23970/ahrqepcwhitepaperimproving.

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Background: Healthcare decision makers strive to operate on the best available evidence. The Agency for Healthcare Research and Quality Evidence-based Practice Center (EPC) Program aims to support healthcare decision makers by producing evidence reviews that rate the strength of evidence. However, the evidence base is often sparse or heterogeneous, or otherwise results in a high degree of uncertainty and insufficient evidence ratings. Objective: To identify and suggest strategies to make insufficient ratings in systematic reviews more actionable. Methods: A workgroup comprising EPC Program mem

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Bozek, Michael, and Tani Hubbard. Greater Yellowstone Network amphibian monitoring protocol science review: A summary of reviewers’ responses. National Park Service, 2022. http://dx.doi.org/10.36967/nrr-2293614.

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Science reviews are an essential cornerstone of all excellent science programs and are a requirement of monitoring programs within the Inventory and Monitoring Division of the National Park Service (NPS). Science reviews provide necessary professional critique of objectives, study design, data collection, analysis, scientific interpretation, and how effectively information is transferred to target audiences. Additionally, reviews can help identify opportunities to cooperate more effectively with interested and vested partners to expand the impacts of collective findings across larger landscape

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Morville, Anne-Le, Janice Jones, Michal Avrech-Bar, et al. A scoping review protocol on Occupational Science Research in European Contexts. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.7.0056.

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Review question / Objective: Researchers may conduct scoping reviews instead of systematic reviews where the purpose of thereview is to identify knowledge gaps, scope a body of literature, clarify concepts or to investigate research conduct. While useful in their own right, scoping reviews may also be helpful precursors to systematic reviews and can be used to confirm the relevance of inclusion criteria and potential questions. (Munn et al. BMC Medical Research Methodology (2018) 18:143) The aim of this review is to scope the empirical-based and peer-reviewed European OS research literature an

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