Predicting Trending Elements on Web Pages Using Machine Learning

Author:

Shekh Khalil Naziha1,Eraslan Sukru1ORCID,Yesilada Yeliz1ORCID

Affiliation:

1. Computer Engineering, Middle East Technical University Northern Cyprus Campus, Guzelyurt, Mersin 10, Turkey

Publisher

Informa UK Limited

Subject

Computer Science Applications,Human-Computer Interaction,Human Factors and Ergonomics

Reference47 articles.

1. Ahsan, Z., & Obaidellah, U. (2023). Is clustering novice programmers possible? investigating scanpath trend analysis in programming tasks. In Proceedings of the 2023 Symposium on Eye Tracking Research and Applications. Association for Computing Machinery. https://doi.org/10.1145/3588015.3589193

2. Akpinar, E., & Yesilada, Y. (2013). Vision based page segmentation algorithm: Extended and perceived success. In Q. Z. Sheng & J. Kjeldskov (Eds.), Current trends in web engineering (pp. 238–252). Springer International Publishing.

3. Analyzing Eye-Tracking Information in Visualization and Data Space: From Where on the Screen to What on the Screen

4. Baez, M., Daniel, F., & Casati, F. (2020). Conversational web interaction: Proposal of a dialog-based natural language interaction paradigm for the web. In A. Følstad (Eds.), Chatbot research and design (pp. 94–110). Springer International Publishing.

5. Burkov A. (2019). The hundred-page machine learning book . Andriy Burkov. Retrieved from https://books.google.com.cy/books?id=0jbxwQEACAAJ

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