Automatically Ranking Multimedia Objects Identified in Response to Search Queries
First Claim
1. A method, comprising:
- constructing by one or more computer systems a statistical model for a plurality of multimedia objects identified in response to a search query, the statistical model comprising a plurality of probabilities, wherein;
each of the multimedia objects uniquely corresponding to a different one of a plurality of sets of feature values,each of the feature values of each of the sets of feature values being a characterization of the multimedia object corresponding to the set of feature values, andeach of the probabilities being calculated for a different one of the multimedia objects based on the set of feature values corresponding to the multimedia object; and
ranking the multimedia objects based on their corresponding probabilities, such that a multimedia object having a relatively higher probability is ranked relatively higher.
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Abstract
Construct a statistical model for a plurality of multimedia objects identified in response to a search query, the statistical model comprising a plurality of probabilities, wherein each of the multimedia objects uniquely corresponding to a different one of a plurality of sets of feature values, each of the feature values of each of the sets of feature values being a characterization of the multimedia object corresponding to the set of feature values, and each of the probabilities being calculated for a different one of the multimedia objects based on the set of feature values corresponding to the multimedia object. Rank the multimedia objects based on their corresponding probabilities, such that a multimedia object having a relatively higher probability is ranked relatively higher.
25 Citations
27 Claims
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1. A method, comprising:
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constructing by one or more computer systems a statistical model for a plurality of multimedia objects identified in response to a search query, the statistical model comprising a plurality of probabilities, wherein; each of the multimedia objects uniquely corresponding to a different one of a plurality of sets of feature values, each of the feature values of each of the sets of feature values being a characterization of the multimedia object corresponding to the set of feature values, and each of the probabilities being calculated for a different one of the multimedia objects based on the set of feature values corresponding to the multimedia object; and ranking the multimedia objects based on their corresponding probabilities, such that a multimedia object having a relatively higher probability is ranked relatively higher. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. An apparatus comprising:
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a memory comprising instructions executable by one or more processors; and one or more processors coupled to the memory and operable to execute the instructions, the one or more processors being operable when executing the instructions to; construct a statistical model for a plurality of multimedia objects identified in a search result generated in response to a search query by a search engine, the statistical model comprising a plurality of probabilities, wherein; each of the multimedia objects uniquely corresponding to a different one of a plurality of sets of feature values, each of the feature values of each of the sets of feature values being a characterization of the multimedia object corresponding to the set of feature values, and each of the probabilities being calculated for a different one of the multimedia objects based on the set of feature values corresponding to the multimedia object; and rank the multimedia objects based on their corresponding probabilities, such that a multimedia object having a relatively higher probability is ranked relatively higher. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19)
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20. One or more computer-readable storage media embodying software operable when executed by one or more computer systems to:
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construct a statistical model for a plurality of multimedia objects identified in response to a search query, the statistical model comprising a plurality of probabilities, wherein; each of the multimedia objects uniquely corresponding to a different one of a plurality of sets of feature values, each of the feature values of each of the sets of feature values being a characterization of the multimedia object corresponding to the set of feature values, and each of the probabilities being calculated for a different one of the multimedia objects based on the set of feature values corresponding to the multimedia object; and rank the multimedia objects based on their corresponding probabilities, such that a multimedia object having a relatively higher probability is ranked relatively higher. - View Dependent Claims (21, 22, 23, 24, 25, 26, 27)
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Specification