Personalization engine for building a user profile

摘要: Users of electronic documents are classified for profiling and targeting additional relevant content. Behavioral data is gathered from user registration information activity, actions categorized. Registration combined with collaborative editorial to provide profile information. Author-generated document classification analyzed assigned a first taxonomic noun characterize the document. User-generated tags characterizing portion second noun. Search terms that resulted in accessing identified third Attributes related how was accessed evaluated fourth The processed using pattern rules extract fifth nouns aggregated determine composite set nouns, categorized and/or author-generated classification.