Keyword determinations from conversational data
Topics of potential interest to a user, useful for purposes such as targeted advertising and product recommendations, can be extracted from voice content produced by a user. A computing device can capture voice content, such as when a user speaks into or near the device. One or more sniffer algorithms or processes can attempt to identify trigger words in the voice content, which can indicate a level of interest of the user. For each identified potential trigger word, the device can capture adjacent audio that can be analyzed, on the device or remotely, to attempt to determine one or more keywords associated with that trigger word. The identified keywords can be stored and/or transmitted to an appropriate location accessible to entities such as advertisers or content providers who can use the keywords to attempt to select or customize content that is likely relevant to the user.
1. A computer-implemented method, comprising:
determining, at a first computing device, that first audio data represents at least one trigger word, the determining including processing the first audio data using at least a speech processing algorithm;
receiving second audio data within a specified time period of the first audio data;
determining that the second audio data represents at least one keyword;
determining identity information associated with the first computing device using at least voice recognition and the second audio data; and
determining content based at least in part on the at least one keyword and the identity information associated with the first computing device.
2. The computer-implemented method of claim 1 , further comprising storing at least one of the trigger word or the keyword.
3. The computer-implemented method of claim 1 , further comprising outputting the content on a display device.
4. The computer-implemented method of claim 1 , further comprising outputting the content as audio.
5. The computer-implemented method of claim 1 , further comprising:
determining a location of the first computing device; and
determining the content based at least in part on the location.
6. The computer-implemented method of claim 1 , further comprising:
determining a first value associating the at least one keyword with a user;
determining, based at least on a change in relevance of the keyword to the user, a second value associating the at least one keyword with the user; and
storing the second value.
7. The computer-implemented method of claim 6 , further comprising determining the content based at least on the keyword and the second value.
8. The computer-implemented method of claim 1 , further comprising:
determining a first and a second item of content associated with the at least one keyword;
determining a first relevance of the first item of content;
determining a second relevance of the second item of content; and
receiving a selection of the second item of content.
9. A computer-implemented method, comprising:
determining, at a first computing device, that first audio data represents at least one trigger word, the determining including processing the first audio data using at least a speech processing algorithm;
determining that second audio data represents at least a first keyword;
identifying content associated with the first keyword;
determining that third audio data represents at least a second keyword;
determining that the first keyword is associated with the second keyword; and
presenting the content based at least on association of the first keyword with the second keyword.
10. The computer-implemented method of claim 9 , further comprising storing information associating the content with the second keyword.
11. The computer-implemented method of claim 9 , further comprising outputting the content on a display of the first computing device.
12. The computer-implemented method of claim 9 , further comprising outputting the content as audio using a speaker of the first computing device.
13. The computer-implemented method of claim 9 , wherein the second keyword is a variation of the first keyword.
14. The computer-implemented method of claim 9 , further comprising:
determining a first and a second item of content associated with the second keyword;
determining a first relevance of the first item of content;
determining a second relevance of the second item of content; and
causing presentation of the second item of content, based at least in part on the first relevance and the second relevance.
15. A computing system, comprising:
at least one processor; and
memory including instructions that, when executed by the at least one processor, cause the computing system to:
determine, at a first computing device, that first audio data represents at least one trigger word, the determination including processing the first audio data using at least a speech processing algorithm;
determine that second audio data received within a specified time period of the first audio data represents at least one keyword;
determine an identity associated with the first computing device using at least voice recognition and the second audio data; and
receive from a second computing device, content associated with the at least one keyword and associated with the identity.
16. The computing system of claim 15 , further comprising a database, the memory further including instructions that, when executed by the processor, cause the computing system to store, in the database, at least one of the trigger word or the keyword.
17. The computing system of claim 15 , further comprising a display device, the memory further including instructions that, when executed by the processor, cause the computing system to output the content on the display device.
18. The computing system of claim 15 , further comprising a speaker, the memory further including instructions that, when executed by the processor, cause the computing system to output the content as audio using the speaker.
19. The computing system of claim 15 , further comprising a location determining device, the memory further including instructions that, when executed by the processor, cause the computing system to:
determine a location of the first computing device; and
determine the content based at least on the location.
20. The computing system of claim 15 , further comprising a database, the memory further including instructions that, when executed by the processor, cause the computing system to:
determine a first value associating the at least one keyword with a user;
determine, based at least in a change in relevance of the keyword to the user, a second value associating the at least one keyword with the user;
store the second value in the database; and
determine the content based at least on the keyword and the second value.