{'fraction_non_alphanumeric': 0.025806451612903226, 'fraction_numerical': 0.002150537634408602, 'mean_word_length': 5.045454545454546, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Pattern-Sensitive Web Service Access for Dual-Mode Mobile Network

With the development of OTT (Over The Top) application, cell phone users have to pay more for their Internet access. To help these users save their 3G/4G communication in smart phone, a number of Apps have been upgraded to provide none-graphic model. However, the QoS of Internet service is weakened under this model. This paper proposes an innovative method by analyzing the user's Web access pattern and mobile network status, and thus to predict the user's browsing behavior. Time Series Matrix Based Prediction (TSMP) algorithm is proposed to establish the Time Series Matrix through pretreating user information, so that each user could utilize their own time series and matrices. The experimental results that the proposed method accurately predicts the user's Web access intention. Therefore, it helps users save communication cost of their mobile devices.