Full-text relevancy ranking
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Accused Products
Abstract
A method and system for ranking relevancy of metadata associated with media on a computer network, such as multimedia and streaming media, include categorizing the metadata into sets of metadata. The categories are broad categories relating to areas such as who, what, when, and where, such as artist, media type, and creation date, creation location. Weights are assigned to each set of metadata. Weights are related to technical information such as bit rate, duration, sampling rate, frequency of occurrence of a specific term, etc. A score is calculated for ranking the relevancy of each set of metadata. The score is calculated in accordance with the assigned weight and category. This score is available for search systems (e.g., search engines) and/or users to determine the relative ranking of search results.
172 Citations
34 Claims
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1-18. -18. (canceled)
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19. A computer-implemented method for ranking search results for multimedia items, the method comprising:
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providing a plurality of categories relating to the semantics of multimedia content;
for each of a plurality of multimedia items;
identifying metadata associated with the multimedia item, the metadata describing a semantic characteristic of the multimedia item; and
for each identified metadata associated with the multimedia item, categorizing the identified metadata into one of the plurality of categories relating to the semantics of multimedia content;
receiving a search query comprising at least one search term;
for each search term;
semantically associating the search term with one of the plurality of categories relating to the semantics of multimedia content; and
identifying a categorized metadata matching the search term, the categorized metadata selected from the associated one of the plurality of categories;
identifying a candidate multimedia item from the plurality of multimedia items, the candidate multimedia item associated with at least one of the identified categorized metadata; and
determining a score for the identified candidate multimedia item, wherein the score is based on the categories associated with all of the identified categorized metadata matching the search terms in the search query. - View Dependent Claims (20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30)
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31. A computer-readable medium whose contents cause a computer to rank search results for multimedia items by:
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providing a plurality of categories relating to the semantics of multimedia content;
for each of a plurality of multimedia items;
identifying metadata associated with the multimedia item, the metadata describing a semantic characteristic of the multimedia item; and
for each identified metadata associated with the multimedia item, categorizing the identified metadata into one of the plurality of categories relating to the semantics of multimedia content;
receiving a search query comprising at least one search term;
for each search term;
semantically associating the search term with one of the plurality of categories relating to the semantics of multimedia content; and
identifying a categorized metadata matching the search term, the categorized metadata selected from the associated one of the plurality of categories;
identifying a candidate multimedia item from the plurality of multimedia items, the candidate multimedia item associated with at least one of the identified categorized metadata; and
determining a score for the identified candidate multimedia item, wherein the score is based on the categories associated with all of the identified categorized metadata matching the search terms in the search query. - View Dependent Claims (32, 33, 34)
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Specification