@Article{jqc.2019.07238, AUTHOR = {Hangjun Zhou, Jieyu Zhou, Guang Sun, Wangdong Jiang, Chuntian Luo, Xiaoping Fan, Haowen Zhang, Haoran Zhang}, TITLE = {An Ui Design Optimization Strategy for General App in Big Data Environment}, JOURNAL = {Journal of Quantum Computing}, VOLUME = {1}, YEAR = {2019}, NUMBER = {2}, PAGES = {65--80}, URL = {http://www.techscience.com/jqc/v1n2/28966}, ISSN = {2579-0145}, ABSTRACT = {Due to the huge amount of increasing data, the requirements of people for electronic products such as mobile phones, tablets, and notebooks are constantly improving. The development and design of various software applications attach great importance to users’ experiences. The rationalized UI design should allow a user not only enjoy the visual design experience of the new product but also operating it more pleasingly. This process is to enhance the attractiveness and performance of the new product and thus to promote the active usage and consuming conduct of users. In this paper, an UI design optimization strategy for general APP in the big data environment is proposed to get better user experience while effectively obtaining information. An experimental example of a library APP is designed to optimize the user experience. The experimental results show that the user-centered UI design is the core of optimization, and user portrait based on big data platforms is the key to UI design.}, DOI = {10.32604/jqc.2019.07238} }