Method and system for tagging objects comprising tag recommendation based on query-based ranking and annotation relationships between objects and tags

A tag recommendation system for annotating content objects including:

• an annotation module comprising an annotation relationship detector and ranking processor wherein each object is characterized by an associated set of content features and the processor determines an annotation relationship between the features and a pre-determined tag for the each object, the relationship being defined by a graph construction representative of an affinity relationship between each pre-selected tag and content object to a selected query;
• and,
• wherein the processor ranks a plurality of the annotation relationships based upon a relevance of the pre-selected tags to the content features in response to a new query for assigning a new tag to the each object, and suggesting a suggested tag from the ranking whereby the suggesting tag is determined as a most likely tag for annotating the content object.