Method and system for searching for digital assets
A method of presenting digital assets in response to a search query by a user to locate at least one digital asset from a database of digital assets is described. Each digital asset has at least one keyword associated with it, and each associated keyword is part of a hierarchical organization of keywords. A first set of digital assets that have associated keywords equivalent to the search query is identified as well as suggested keywords that have e.g., an ancestor, descendant or sibling relation to the search query. The digital assets and the suggested keywords are presented to the user. The user selects a suggested keyword, and a second set of digital assets that have associated keywords equivalent to the suggested keyword is identified. The second set of digital assets is presented to the user.
1. A method for identifying digital assets in response to a refined search query, the method comprising:
receiving, at a computing system, an initial search query from a user system for locating at least one digital asset from a database of digital assets,
wherein each digital asset in the database of digital assets is associated with at least one keyword, and
wherein each associated keyword is part of a structured vocabulary of hierarchically organized keywords maintained by the computing system;
determining a first set of digital assets from the database of digital assets, wherein each digital asset in the first set of digital assets is associated with a keyword equivalent to or synonymous with the initial search query;
determining a first set of suggested keywords from the structured vocabulary, wherein each suggested keyword in the first set of suggested keywords has a relationship in the hierarchical organization to the initial search query, the relationship existing prior to receiving the initial search query;
transmitting the first set of digital assets and the first set of suggested keywords to the user system;
receiving, at the computing system, a refinement selection from the user system, wherein the refinement selection comprises a refinement digital asset from the first set of digital assets or a refinement keyword from the first set of suggested keywords;
generating a refined search query based on the initial search query and the refinement selection;
determining a second set of digital assets from the database of digital assets, wherein each digital asset in the second set of digital assets is associated with a keyword equivalent to or synonymous with the refined search query;
determining a second set of suggested keywords from the structured vocabulary, wherein each suggested keyword in the second set of suggested keywords has a relationship in the hierarchical organization to the refined search query, the relationship existing prior to receiving the refined search query; and
transmitting the second set of digital assets and the second set of suggested keywords to the user system.
2. The method of claim 1 , wherein at least one keyword of the first set of suggested keywords or one keyword of the second set of suggested keywords has a concept or subject in common with the search query.
3. The method of claim 1 , wherein at least one keyword of the first set of suggested keywords or one keyword of the second set of suggested keywords is a popularly searched keyword.
4. The method of claim 1 , wherein each keyword of the first set of suggested keywords is associated with a weighting based on a nearness between the keyword and the search query in the structured vocabulary.
5. The method of claim 4 , wherein each keyword is displayed to a user at the user system based on the weighting associated with the keyword.
6. The method of claim 1 , wherein the second set of digital assets includes at least one digital asset that is not included in the first set of digital assets.
7. The method of claim 1 , wherein the refinement selection is associated with a Boolean operator specified by a user of the user system, and wherein the refinement search query is further based on the Boolean operator.
8. A non-transitory computer-readable medium encoded with a computer program to identify digital assets, the computer program including instructions to perform a method comprising:
receiving, at a computing system, a first search query from a user system for locating at least one digital asset from a database of digital assets,
wherein each digital asset in the database of digital assets is associated with at least one keyword, and
wherein each associated keyword is part of a structured vocabulary of hierarchically organized keywords maintained by the computing system;
determining a first set of digital assets from the database of digital assets, wherein each digital asset in the first set of digital assets is associated with a keyword equivalent to or synonymous with the first search query;
determining a first set of suggested keywords from the structured vocabulary, wherein each suggested keyword in the first set of suggested keywords has a relationship in the hierarchical organization to the first search query, the relationship existing prior to receiving the first search query;
transmitting the first set of digital assets and the first set of suggested keywords to the user system;
receiving, at the computing system, a refinement selection from the user system, wherein the refinement selection comprises a refinement digital asset from the first set of digital assets or a refinement keyword from the first set of suggested keywords;
generating a refined search query based on the search query and the refinement selection;
determining a second set of digital assets from the database of digital assets, wherein each digital asset in the second set of digital assets is associated with a keyword equivalent to or synonymous with the refined search query;
determining a second set of suggested keywords from the structured vocabulary, wherein each suggested keyword in the second set of suggested keywords has a relationship in the hierarchical organization to the refined search query, the relationship existing prior to receiving the refined search query; and
transmitting the second set of digital assets and the second set of suggested keywords to the user system.
9. The non-transitory computer-readable medium of claim 8 , wherein at least one keyword of the first set of suggested keywords or one keyword of the second set of suggested keywords has a concept or subject in common with the search query.
10. The non-transitory computer-readable medium of claim 8 , wherein at least one keyword of the first set of suggested keywords or one keyword of the second set of suggested keywords is a popularly searched keyword.
11. The non-transitory computer-readable medium of claim 8 , wherein each keyword of the first set of suggested keywords is associated with a weighting based on a nearness between the keyword and the search query in the structured vocabulary.
12. The non-transitory computer-readable medium of claim 11 , wherein each keyword is displayed to a user at the user system based on the weighting associated with the keyword.
13. The non-transitory computer-readable medium of claim 8 , wherein the second set of digital assets includes at least one digital asset that is not included in the first set of digital assets.
14. The non-transitory computer-readable medium of claim 8 , wherein the refinement selection is associated with a Boolean operator specified by a user of the user system, and wherein the refinement search query is further based on the Boolean operator.
15. A computer system for providing digital assets in response to searches for digital assets, the system comprising:
a database; and
a server computer coupled to the database and executing instructions that, when executed:
store multiple keywords, wherein each keyword is part of a structured vocabulary of hierarchically organized keywords; and
store multiple digital assets, wherein each digital asset is associated with at least one keyword;
receive a first search query from a user system for locating at least one digital asset from the database of digital assets;
determine a first set of digital assets from the database of digital assets, wherein each digital asset in the first set of digital assets is associated with a keyword equivalent to or synonymous with the first search query;
determine a first set of suggested keywords from the structured vocabulary, wherein each suggested keyword in the first set of suggested keywords has a relationship in the hierarchical organization to the first search query, the relationship existing prior to receiving the first search query;
transmit the first set of digital assets and the first set of suggested keywords to the user system;
receive a refinement selection from the user system, wherein the refinement selection comprises a refinement digital asset from the first set of digital assets or a refinement keyword from the first set of suggested keywords;
generate a refined search query based on the search query and the refinement selection;
determine a second set of digital assets from the database of digital assets, wherein each digital asset in the second set of digital assets is associated with a keyword equivalent to or synonymous with the refined search query;
determine a second set of suggested keywords from the structured vocabulary, wherein each suggested keyword in the second set of suggested keywords has a relationship in the hierarchical organization to the refined search query, the relationship existing prior to receiving the refined search query; and
transmit the second set of digital assets and the second set of suggested keywords to the user system.
16. The computer system of claim 15 , wherein at least one keyword of the first set of suggested keywords or one keyword of the second set of suggested keywords has a concept or subject in common with the search query.
17. The computer system of claim 15 , wherein at least one keyword of the first set of suggested keywords or one keyword of the second set of suggested keywords is a popularly searched keyword.
18. The computer system of claim 15 , wherein each keyword of the first set of suggested keywords is associated with a weighting based on a nearness between the keyword and the search query in the structured vocabulary.
19. The computer system of claim 18 , wherein each keyword is displayed to a user at the user system based on the weighting associated with the keyword.
20. The computer system of claim 15 , wherein the second set of digital assets includes at least one digital asset that is not included in the first set of digital assets.
21. The computer system of claim 15 , wherein the refinement selection is associated with a Boolean operator specified by a user of the user system, and wherein the refinement search query is further based on the Boolean operator.