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14 results for “Users Feedback”
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Research ArticleOpen accessEvery word in the titleStatistical Analysis and Learning Method on Users' FeedbacksDoris Hooi-Ten Wong, Sureswaran RamadassProblem statement: The purpose of this study was constructing an effective algorithm in order to learn the users’ feedbacks from their displayed visualization. This is due to existing visualization tools typically involve presenting network data regardless of considering level of network data knowledge among different levels of computer users. The machine learning algorithm has been applied in order to find … …Journal of Computer Science, Vol. 7, Issue 9 · 26 Jul 2011 · 6,525 accessesView PDFCite
Research ArticleOpen accessIn the keywordsResource Selection in Grid Environment Based on Trust Evaluation Using Feedback and PerformancePrakash Mohan, Ravichandran ThangavelA grid computing is a collection of distributed computing resources owned by many organizations across boundaries and not dedicated for a single user available in the Virtual Organization. Grid computing environment provides more computational capabilities to increase the scalability and efficiency of the infra-structure. Resource selection in computational grid is the open issue for executing complex jobs. Trust is the … …American Journal of Applied Sciences, Vol. 10, Issue 8 · 24 Jul 2013 · 7,169 accessesView PDFCite
Research ArticleOpen accessIn the abstractAI-Driven Visual Communication Strategies for Enhancing Engagement in Smart Hospitality PlatformsYudhiet Fajar Dewantara, Yana Erlyana, Lim Jing YiThe rapid evolution of Smart Hospitality has reshaped how tourists interact with service providers. Visual communication plays a pivotal role in influencing engagement, yet most digital content remains generic, limiting brand resonance. This study investigates AI-driven visual communication strategies to enhance engagement by bridging computer science and design communication. A mixed-method approach was employed, starting with the analysis of 120 … …Journal of Computer Science, Vol. 22, Issue 9 · 7 Sep 2026 · 677 accessesView PDFCite
Review ArticleOpen accessIn the abstractWeb Scraping for Product Recommendations: A Review of Techniques and ApplicationsAmarinder Kaur, Deepak PrasharA comprehensive method for developing a reliable product recommender system leveraging sophisticated web scraping technologies, machine learning, and natural language processing techniques. The proposed system addresses key challenges in personalized product recommendation, including the difficulty of integrating diverse data from multiple e-commerce platforms, ensuring data quality, and improving recommendation accuracy to enhance user experience. Specifically, this research tackles issues related … …Journal of Computer Science, Vol. 21, Issue 6 · 21 Jun 2025 · 4,225 accessesView PDFCite
Research ArticleOpen accessIn the abstractMeasuring Website Quality using Service Quality and User Satisfaction Dimensions: A Conceptual FrameworkMohammed Ali Albalushi, Zanariah Jano, Indra Devi et al.The study aimed to develop a conceptual framework for measuring the website quality of public sector organizations through users' feedback on service quality and satisfaction. The methodology involved a full review of previous studies on website quality service quality user satisfaction and website quality evaluation models. The review highlighted the need for further research to explore public organizations’ website quality … …Journal of Computer Science, Vol. 18, Issue 7 · 29 Jul 2022 · 6,085 accessesView PDFCite
Research ArticleOpen accessIn the abstractExploring a Flexible Scoring Scheme for a Heuristic Search Technique: A Case Study of University TimetablesSangsuree Vasupongayya, Warakorn Sitthirit, Suthon Sae-Wong, Thaniya KaosolThe university course timetabling management system is proposed in this work. The proposed system applies depth-bounded discrepancy search together with the heuristic and the hard-soft constraints to guide the search to a good solution space. To make the proposed system easy to use by a non-technical user, this work explores a scoring scheme including the effects of the ordering heuristics, … …Journal of Computer Science, Vol. 16, Issue 5 · 2 Jun 2020 · 7,359 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Framework for Computerized Progress Feedback in Tertiary EducationAnnette van der Merwe, Tiny du Toit, Hennie KrugerThe dawn of democracy in South Africa in 1994 has resulted in challenges in many fields, especially in education. University enrolment rates are high and the output quality of school learners in general is delicate which threatens the graduate quality of tertiary institutions. Contrary to rising student enrolments, the attrition rates have not improved. One contributing factor is the lack … …Journal of Computer Science, Vol. 16, Issue 3 · 28 Mar 2020 · 6,943 accessesView PDFCite
Research ArticleOpen accessIn the abstractRole of Web Usability in Online Customer Experience: A Case of Saudi ArabiaSaqib SaeedSaudi Arabia is an emerging online target market and many business organizations are focusing on this potential market to increase their revenues. Business organizations need to develop online value propositioning to attract different customer segments. Usability of e-business portals is an important factor for online customer retention. In this research, we have conducted the usability evaluation of some selected websites … …Journal of Computer Science, Vol. 15, Issue 5 · 30 May 2019 · 8,009 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Prescriptive Specialized Learning Management System for Academic Feedback towards Improved LearningAnnette van der Merwe, Tiny du Toit, Hennie KrugerThe dynamic nature of technological advances is causing changes in many fields and especially in tertiary education. Student numbers are increasing annually and institutions need to maintain education quality whilst ensuring student retention. A specialized learning management system (SLMS) was developed in this study that provides students with comprehensive feedback which will enable them to better manage their academic performance. … …Journal of Computer Science, Vol. 14, Issue 10 · 24 Oct 2018 · 7,480 accessesView PDFCite
Research ArticleOpen accessIn the abstractUnfair Reviews Detection on Amazon Reviews using Sentiment Analysis with Supervised Learning TechniquesElshrif Ibrahim Elmurngi, Abdelouahed GherbiReputation and trust are significantly important and play a pivotal role in enabling multiple parties to establish relationships that achieve mutual benefit especially in an E-Commerce (EC) environment. There are several factors negatively affecting the sight of customers and sellers in terms of reputation. For instance, lack of credibility in providing feedback reviews, by which users might create phantom feedback … …Journal of Computer Science, Vol. 14, Issue 5 · 14 May 2018 · 9,882 accessesView PDFCite