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Communication Technology and New Media Commons™
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Articles 1 - 3 of 3
Full-Text Articles in Communication Technology and New Media
Read This: A Content Analysis Framework For Book Recommendation Applications, Cypress S. Payne
Read This: A Content Analysis Framework For Book Recommendation Applications, Cypress S. Payne
Honors Projects
Book recommendation applications combine word-of-mouth recommendations with algorithms that can suggest books based on a user’s account activity, creating a robust system for finding new books to read. Current research on recommendation systems is purely quantitative, focusing on the efficacy of the system, and content analyses are only just beginning to be performed on mobile applications. I use previous content analyses on applications as a basis for creating a content analysis framework for book recommendation applications. This framework can be used to analyze what users find important in book recommendation apps and inform app creators about their users’ wants and …
Sustainability In Web Development Through Energy Efficiency, Hannah Bebinger
Sustainability In Web Development Through Energy Efficiency, Hannah Bebinger
Honors Projects
As global internet usage expands, websites are growing in both size and complexity. Contrary to the common belief that the internet is immaterial and “environmentally friendly”, web pages have significant negative environmental impacts (Frick, 2015). Websites contribute to global greenhouse gas (GHG) emissions and electricity consumption. Considering the current climate crisis, it is crucial that web developers be aware of the impact that their work has on the environment and actively work to improve site energy efficiency. With a lack of regulation and awareness, the environmental impact of websites has remained unchecked despite growing concerns for sustainability. Further research and …
Exploring The Existing And Unknown Side Effects Of Privacy Preserving Data Mining Algorithms, Hima Bindu Sadashiva Reddy
Exploring The Existing And Unknown Side Effects Of Privacy Preserving Data Mining Algorithms, Hima Bindu Sadashiva Reddy
CCE Theses and Dissertations
The data mining sanitization process involves converting the data by masking the sensitive data and then releasing it to public domain. During the sanitization process, side effects such as hiding failure, missing cost and artificial cost of the data were observed. Privacy Preserving Data Mining (PPDM) algorithms were developed for the sanitization process to overcome information loss and yet maintain data integrity. While these PPDM algorithms did provide benefits for privacy preservation, they also made sure to solve the side effects that occurred during the sanitization process. Many PPDM algorithms were developed to reduce these side effects. There are several …