Predictive modeling of webpage aesthetics

Author

Ang Chen

Keywords and Phrases

Aesthetics; Machine Learning; Webpage Aesthetics

Abstract

"Aesthetics plays a key role in web design. However, most websites have been developed based on designers' inspirations or preferences. While perceptions of aesthetics are intuitive abilities of humankind, the underlying principles for assessing aesthetics are not well understood. In recent years, machine learning methods have shown promising results in image aesthetic assessment. In this research, we used machine learning methods to study and explore the underlying principles of webpage aesthetics"--Abstract, page iii.

Advisor(s)

Nah, Fiona Fui-Hoon, 1966-

Committee Member(s)

Siau, Keng, 1964-
Chen, Langtao

Department(s)

Business and Information Technology

Degree Name

M.S. in Information Science and Technology

Publisher

Missouri University of Science and Technology

Publication Date

Fall 2019

Pagination

xiii, 115 pages

Note about bibliography

Includes bibliographical references (pages 108-114).

Rights

© 2019 Ang Chen, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Thesis Number

T 11618

Electronic OCLC #

1139525592

Recommended Citation

Chen, Ang, "Predictive modeling of webpage aesthetics" (2019). Masters Theses. 7913.
https://scholarsmine.mst.edu/masters_theses/7913