Personalized Information Gathering System Based on Micromedia

Even as the sheer volume of information on the Web continues to expand, not everyone is able to find the information they seek using the conventional search methods available. Here we propose a solution in the form of a system that first assesses a user´s circumstances and preferences in real time based on micromedia comments posted to the Web, then infers and recommends information desired by the user. Using content analysis focused on objects and predicates used in micromedia comments posted on Twitter, blogs, and social network services (SNSs), the system builds a user profile by monitoring and storing information relating to the user´s circumstances and experiences. Search terms are then extracted based on the user´s profile, which provides personalized search and search results.