We introduce the Comprehensive Information Filtering System (CIFS), an architecture for information filtering for mobile users that takes into account not only information relevance but also adaptive context, trust, privacy, and mobility. The uniqueness of the approach lies in the application of several implicit and explicit user profiling methods with the goal of building an in-depth, adaptive user profile, which can then be used to filter documents through a multilayer filter that combines several existing information filtering and retrieval techniques. The preliminary test data generation and statistical analysis algorithm are described, and preliminary test results provided.