Split menus: effectively using selection frequency to organize menus
ACM Transactions on Computer-Human Interaction (TOCHI)
Item-based collaborative filtering recommendation algorithms
Proceedings of the 10th international conference on World Wide Web
Text databases & document management
Optimizing search engines using clickthrough data
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Mining models of human activities from the web
Proceedings of the 13th international conference on World Wide Web
Recommendation of Software Technologies Based on Collaborative Filtering
APSEC '05 Proceedings of the 12th Asia-Pacific Software Engineering Conference
Exploiting the icon arrangement on mobile devices as information source for context-awareness
Proceedings of the 12th international conference on Human computer interaction with mobile devices and services
Personal and Ubiquitous Computing
Understanding and prediction of mobile application usage for smart phones
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
A study on icon arrangement by smartphone users
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Mobile devices are becoming more and more difficult to use due to the sheer number of functions now supported. In this paper, we propose a menu customization system that ranks functions so as to make interesting functions, both frequently used functions and rarely used functions, easy to access. Concretely, we define the features of phone functions by extracting keywords from the manufacturer's manual, and propose the method that ranks the functions based on user operation history by using Ranking SVM (Support Vector Machine). We conduct a home-use test for one week to evaluate the efficiency of customization and the usability of menu customization. The results show that the average rank of used functions on the last day of the test is half of that of first day and almost 70 % of the users are satisfied with the ranking provided by menu customization and the usability of menus. In addition, interviews show that automatic mobile menu customization is more appropriate for mobile phone beginner rather than the master users.