@inproceedings{ab6131580b8744dbabb614474459fa14,
title = "An optimization method for user interface components based on big data",
abstract = "The efficiency and usability of user interface largely depend on the design and optimization of UI components. This paper proposes an optimization method for UI components based on big data collected from users. First, a user interface components optimization model (UCOM) is proposed which is described from four aspects including user model, task model, interaction model, and component presentation model. Then, based on UCOM, a big data-driven optimization method for user interface component (BOM) is presented. This method defines complete optimizing solution, uses the crowdsourcing to publish solution, gathers and analyzes users{\textquoteright} big data, utilizes AHP to develop a weight formula, and finally provides integrated optimization suggestion.",
keywords = "Big data, Optimization method, User interface",
author = "Fei Lyu and Lei Ren and Yi Du",
note = "Publisher Copyright: {\textcopyright} 2017, Springer International Publishing AG.; 19th Monterey Workshop on Challenges and Opportunity with Big Data, 2016 ; Conference date: 08-10-2016 Through 11-10-2016",
year = "2017",
doi = "10.1007/978-3-319-61994-1\_4",
language = "英语",
isbn = "9783319619934",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "37--42",
editor = "Lin Zhang and Lei Ren and Fabrice Kordon",
booktitle = "Challenges and Opportunity with Big Data - 19th Monterey Workshop 2016, Revised Selected Papers",
address = "德国",
}