On mining mobile apps usage behavior for predicting apps usage in smartphones

Zhung Xun Liao, Yi Chin Pan, Wen-Chih Peng, Po Ruey Lei

研究成果: Conference contribution同行評審

59 引文 斯高帕斯(Scopus)

摘要

Predicting Apps usage has become an important task due to the proliferation of Apps, and the complex of Apps. However, the previous research works utilized a considerable number of different sensors as training data to infer Apps usage. To save the energy consumption for the task of predicting Apps usages, only the temporal information is considered in this paper. We propose a Temporal-based Apps Predictor (abbreviated as TAP) to dynamically predict the Apps which are most likely to be used. First, we extract three Apps usage features, global usage feature, temporal usage feature, and periodical usage feature from the Apps usage trace. Then, based on those explored features, we dynamically derive an Apps usage probability model to estimate the current usage probability of each App in each feature. Finally, we investigate the usage probability in each feature and select k Apps with highest usage probability from the probability model. In this paper, we propose two selection algorithms, MaxProb and Min Entropy. To evaluate the performance of TAP, we use two real mobile Apps usage traces and assess the accuracy and efficiency. The experimental results show that the proposed TAP with the Min Entropy selection algorithm could have shorter response time of Apps prediction. Moreover, the accuracy reaches to 80% when k is 5, and when k is 7, the accuracy achieves almost 100% in both of the two real datasets. Copyright is held by the owner/author(s).

原文English
主出版物標題CIKM 2013 - Proceedings of the 22nd ACM International Conference on Information and Knowledge Management
頁面609-618
頁數10
DOIs
出版狀態Published - 2013
事件22nd ACM International Conference on Information and Knowledge Management, CIKM 2013 - San Francisco, CA, United States
持續時間: 27 10月 20131 11月 2013

出版系列

名字International Conference on Information and Knowledge Management, Proceedings

Conference

Conference22nd ACM International Conference on Information and Knowledge Management, CIKM 2013
國家/地區United States
城市San Francisco, CA
期間27/10/131/11/13

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