Context awareness of social group by topic mining on visiting logs of mobile users in two dimensions

Ubiquitous computing technologies have been developed fast and various decision support systems were proposed. Consecutively, in recently, people are working on an implicit service agent of mobile phone to make people to be provided useful services without paying attentions. However, when people want to buy some products or to go somewhere, people are still going to use Internet to get preference information of group of people. They should put queries and click one or more documents. In this sense, how the implicit services could be perfectly available by only mining on the contextual data obtainable from smart phones? In this paper, we propose a model providing group preference information implicitly through topic-mining on the data obtainable from smart phones. We would introduce developed context awareness model in smart phones and apply a topic model which automatically learns a hierarchy of topics to our server. We would also show our simple experimentation to ensure the effectiveness of topic-mining and of provided implicit group preference information.