Tag ranking
AssigneeMicrosoft Corporation
InventorsHongJiang Zhang, Dong Liu, Meng Wang, Linjun Yang, Xian-Sheng Hua
Life of this patent
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Abstract
Technologies for generating a boosted tag ranking for a media instance, the boosted tag ranking based on probabilistic relevance estimation and tag correlation refining. Such boosted tag rankings may be used for search result ranking, tag recommendation, and group recommendation.
Claims20
A system for generating a boosted tag ranking for a media instance, the system comprising:
- a probabilistic relevance estimator operable to estimate a relevance score for each input tag of the target media instance, wherein each relevance score is associated with a corresponding input tag, wherein the relevance scores are ordered by relevance thus forming a relevance tag ranking;
- and
- a tag correlation refiner operable to refine the relevance tag ranking based on tag similarity measurements derived from media instances that share a common tag with the media instance wherein the tag similarity measurements are based on tag exemplar similarity and tag concurrence similarity, wherein the media instances are comprised by at least one media repository.
A method for generating a boosted tag ranking for a media instance, the method comprising:
- estimating, by a probabilistic relevance estimator of a computer, a relevance score for each input tag of the target media instance, wherein each relevance score is associated with a corresponding input tag, wherein the relevance scores are ordered by relevance thus forming a relevance tag ranking;
- and
- refining, by a tag correlation refiner of the computer, the relevance tag ranking based on tag similarity measurements derived from media instances that share a common tag with the media instance wherein the tag similarity measurements are based on tag exemplar similarity and tag concurrence similarity, wherein the media instances are comprised by at least one media repository.
One or more computer-readable media embodying computer-executable instructions that, when executed by a processor of a computer, cause the computer to perform a method for generating a boosted tag ranking for a media instance, the method comprising:
- estimating, by a probabilistic relevance estimator of the computer, a relevance score for each input tag of the target media instance, wherein each relevance score is associated with a corresponding input tag, wherein the relevance scores are ordered by relevance thus forming a relevance tag ranking;
- and
- refining, by a tag correlation refiner of the computer, the relevance tag ranking based on tag similarity measurements derived from media instances that share a common tag with the media instance wherein the tag similarity measurements are based on tag exemplar similarity and tag concurrence similarity, wherein the media instances are comprised by at least one media repository.
Dependencies are inferred from the claim text.