Ranking Music Search Results

• US 20140122465A1
• Filed: 10/31/2012
• Published: 05/01/2014
• Est. Priority Date: 10/31/2012
• Status: Abandoned Application

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google LLC (Alphabet Inc.)
• Inventors: Bilinski, Brandon, Otto, Owen, Tang, Ting
• Application Number:
  US13/664,859
• Publication Number:
  US 20140122465A1
• Time in Patent Office: Days
• US Class Current: 707/723
• CPC Class Codes: G06F 16/635 Filtering based on additional data, e.g. user or group profiles

Abstract

A system, method and computer-readable medium for ranking music items (songs, artists, albums, etc.) listed in a search result. The system may include a user database storing user-managed music items and a public database storing a universe of music items. A music ranking application configured to receive a search query, identify music items in response to the query, and provide a ranked result list to the user. Different characteristics of the music items are weighted to provide a score for the music item, the score indicating the relevance of the music item when compared to user data and universal data associated with the item. The weighted scores are used to determine the ranking of the music item and can be adjusted based on user feedback, resulting in an adjusted ranking of the music items listed in the search result.

Claims

1. A computer-implemented method of ranking music items, the method comprising:

identifying, by a processor, a personal item characteristic associated with a music item;

determining, by the processor, a personal weight factor for the personal item characteristic;

determining, by the processor, a personal score of the music item based on the personal item characteristic and the personal weight factor;

determining a ranking, by the processor, of the music item based on the personal item score;

receiving, by the processor, a user request from a user device for the music item; and

providing, by the processor to the user device, a search results list comprising the music item, the search results list sorted according to the ranking

2. The computer-implemented method of claim 1, further comprising:

identifying, by the processor, a public item characteristic associated with the music item;

determining, by the processor, a public weight factor for the public item characteristic; and

determining, by the processor, a public score for the music item based on the public item characteristic and the public weight factor;

wherein, determining the ranking of the music item further includes combining the personal score and the public score.

3. The computer-implemented method of claim 1, wherein the personal item characteristic includes at least one of a user play count, a user play date, a user rating, a bit rate of the music item, an add date associated with a user music library, and a user share data.

4. The computer-implemented method of claim 2, wherein the public item characteristic includes at least one of a universal play count, a universal purchase count, a universal collection count, a universal search count, music item information, and a social media count.

5. The computer-implemented method of claim 1, further comprising:

identifying, by the processor, an other personal item characteristic;

determining, by the processor, an other personal weight factor for the other personal item characteristic;

determining, by the processor, an other personal score for the music item based on the other personal item characteristic and the other personal weight factor;

wherein determining the ranking of the music item further includes combining the personal score and the other personal score.

6. The computer-implemented method of claim 1, further comprising:

determining, by the processor, a personal score of a second music item;

wherein determining the ranking of the music item further includes comparing the personal score of the music item and the personal score of the second music item.

7. The computer-implemented method of claim 2, further comprising:

determining, by the processor, a public score of a second music item;

wherein determining the ranking of the music item further includes comparing the public score of the music item and the public score of the second music item.

8. The computer-implemented method of claim 1, wherein determining the personal score comprises:

assigning a value to the personal item characteristic; and

applying the personal weight factor to the value.

9. The computer-implemented method of claim 2, wherein determining the public score comprises:

assigning a value to the public item characteristic; and

applying the public weight factor to the value.

10. The computer-implemented method of claim 2, further comprising:

receiving a response to the search results list from the user device;

adjusting the personal weight factor based on the response;

adjusting the public weight factor based on the response;

determining an adjusted personal score based on the personal item characteristic and the adjusted personal weight factor;

determining an adjusted public score based on the public item characteristic and the adjusted public weight factor;

wherein, ranking the music item further includes combining the adjusted personal score and the adjusted public score.

11. A system comprising:

a user database adapted to store a plurality of music items and associated user item characteristics;

a public database adapted to store the plurality of music items and associated public item characteristics;

a processor configured to;

identify a music item;

identify from the user database an at least one associated user item characteristic associated with the music item;

identify from the public database an at least one associated public item characteristic associated with the music item;

calculate a personal score based on a weighted aggregate of the at least one associated user item characteristic;

calculate a public score based on a weighted aggregate of the at least one associated public item characteristic;

determine a rank of the music item based the personal score and the public score;

receive a query for the music item; and

provide the music item in a search result listing sorted according to the rank of the music item.

12. The system according to claim 11, wherein the at least one associated user item characteristic includes at least one of a user play count, a user play date, a user rating, a bit rate of the music item, an add date associated with a user music library, and a user share data.

13. The system according to claim 11, wherein the at least one associated public item characteristic includes at least one of a universal play count, a universal purchase count, a universal collection count, a universal search count, music item information, and a social media count.

14. The system according to claim 11, wherein the processor is further configured to:

adjust the personal weight factor and the public weight factor in response to user feedback;

calculate an adjusted personal score and an adjusted public score based on the adjusted personal weight factor and the adjusted public weight factor, respectively; and

adjust the search result listing according to the adjusted personal score and the adjusted public score.

15. A non-transitory computer-readable storage medium having computer-readable program instructions stored therein for execution by a processor, the computer-readable program instructions comprising instructions for:

identifying a personal item characteristic associated with a music item;

determining a personal weight factor for the personal item characteristic;

determining a personal score of the music item based on the personal item characteristic and the personal weight factor; and

determining a ranking of the music item based on the personal item score.

16. The computer program product of claim 15, wherein the computer-readable program instructions further comprise instructions for:

identifying a public item characteristic associated with the music item;

determining a public weight factor for the public item characteristic; and

determining a public score for the music item based on the public item characteristic and the public weight factor;

wherein determining the ranking of the music item further includes combining the personal score and the public score.

17. The computer program product of claim 16, wherein the computer-readable program instructions further comprise instructions for:

receiving a user request from a user device for the music item

providing a search result listing comprising the music item sorted according to the ranking

18. The computer program product of claim 17, wherein the computer-readable program instructions further comprise instructions for:

receiving a response to the search result listing;

adjusting the personal weight factor based on the response;

adjusting the public weight factor based on the response;

determining an adjusted personal score based on the personal item characteristic and the adjusted personal weight factor; and

determining an adjusted public score based on the public item characteristic and the adjusted public weight factor;

wherein, determining the rank of the music item further includes combining the adjusted personal score and the adjusted public score.

19. The computer program product of claim 18, wherein the computer-readable program instructions further comprise instructions for:

providing an adjusted search result listing including the music item list according to the ranking based on the adjusted personal score and the adjusted public score

20. The computer program product of claim 16, wherein the computer-readable program instructions further comprise instructions for:

targeting content to a user based on the ranking of the music item.