document: Temporal rules for mobile web personalization Many systems use past behavior , preferences and environmental factors to attempt to predict user navigation on the Internet . However we believe that many of these models have shortcomings , in that they do not take into account that users may have many different sets of preferences . Here we investigate an environmental factor , namely time , in making predictions about user navigation . We present methods for creating temporal rules that describe user navigation patterns . We also show the benefit of using these rules to predict user navigation and also show the benefits of these models over traditional methods . An analysis is carried out on a sample of usage logs for Wireless Application Protocol ( WAP ) browsing , and the results of this analysis verify our hypothesis .
doc_bio_tags: O O O B O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B O O O O O O O O O O O O O