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

摘要

A method and system is disclosed for tagging a latent object with selected tag recommendations, including a set of content objects wherein each object is characterized by an associated set of content features. An annotation relationship is determined 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. A plurality of the annotation relationships are ranked based upon a relevance of the preselected tags to the content features in response to a new query for assigning a new tag to the each object, so that a suggested tag is made from the ranking whereby the suggested tag is determined as a most likely tag for annotating the content object.

主权项

1. A method for tagging a latent object with selected tag recommendations, including:
receiving an input from a user for tagging the latent object wherein the input includes a user tag preference and wherein the latent object is characterized by a set of predetermined tags representative of an associated set of content features; generating a query using the tag preference for comparing the tag preference to the set of predetermined tags; determining a first annotation relationship between the features and the set of predetermined tags for the object, the relationship being defined by a graph construction representative of an affinity relationship between each predetermined tag and the object content features; determining a second annotation relationship representative of frequency of tagging usage of each of the set of predetermined tags; ranking the first and second annotation relationships based upon a weighted relevance of the predetermined tags and the user tag preference to the object content features using a neighborhood linearization technique to infer edge weights; and suggesting a plurality of suggested tags from the ranking whereby the suggested tags are determined as most likely for annotating the content object.