The document presents a system to filter unwanted messages from user walls on online social networks. It uses machine learning techniques like text classification and radial basis function networks to categorize messages as neutral or non-neutral, and further classify non-neutral messages. Users can define custom filtering rules and blacklists to automatically filter messages on their walls based on content, user relationships, and other criteria. The system aims to give users more control over their timeline posts while maintaining flexibility.