System and method for targeting information based on message content in a reply
A method of presenting information to a party through a messaging application is described. Responsive to receipt of a communication from a party (e.g., the first user), a reply is sent. The communication and the reply is presented in an interface to the sender. The messaging system determines matching content that is relevant to one or both of the communication and the reply and determines a quality of the match. Determining the quality of the match may include determining a score for an advertisement based on the advertisement's responsiveness to content identified in the reply message that was sent. Based on a determination that the quality is above a threshold, the matching content is presented along with the communication and the reply.
1. A method performed by one or more processing devices, the method comprising:
identifying, by the one or more processing devices, voice content of a communication that was sent from a first user account for delivery to a second user account, the communication being part of a conversation;
identifying, by the one or more processing devices, voice content of a reply to the communication, the reply having been generated by the second user account for delivery to the first user account, the communication being part of a conversation;
determining, by the one or more processing devices, content that has a threshold relevance to one or more of the communication or the reply to the communication through analysis of one or more of the transcribed content of the voice content of the communication or transcribed content of the voice content of the reply to the communication; and
causing, by the one or more processing devices, a presentation of the determined content and the reply in a graphical user interface, with the determined content positioned proximate to data displaying the conversation in a graphical user interface.
2. The method of claim 1 , wherein determining content that has the threshold relevance comprises:
determining content that has the threshold relevance based on keywords derived from voice content of the reply to the communication.
3. The method of claim 1 , wherein the content comprises an advertisement.
4. The method of claim 1 , wherein the content comprises active content.
5. The method of claim 1 , wherein determining content that has the threshold relevance comprises: determining reply content associated with the reply; and determining content that has the threshold relevance based on the reply content.
6. The method of claim 1 , wherein determining content that has the threshold relevance comprises:
determining reply content associated with the reply and communication content associated with the communication; and
applying a weighting to a criteria defining a contribution of the reply content to the reply and the communication content to the communication; and
determining, based on applying, content that has the threshold relevance.
7. One or more non-transitory computer-readable media storing instructions that are executable by one or more processing devices to perform operations comprising:
identifying, by the one or more processing devices, voice content of a communication that was sent from a first user account for delivery to a second user account, the communication being part of a conversation;
identifying, by the one or more processing devices, voice content of a reply to the communication, the reply having been generated by the second user account for delivery to the first user account, the communication being part of a conversation;
determining, by the one or more processing devices, content that has a threshold relevance to one or more of the communication or the reply to the communication through analysis of one or more of the transcribed content of the voice content of the communication or transcribed content of the voice content of the reply to the communication; and
causing, by the one or more processing devices, a presentation of the determined content and the reply in a graphical user interface, with the determined content positioned proximate to data displaying the conversation in a graphical user interface.
8. The one or more non-transitory computer-readable media of claim 7 , wherein determining content that has the threshold relevance comprises:
determining content that has the threshold relevance based on keywords derived from derived from voice content of the reply to the communication.
9. The one or more non-transitory computer-readable media of claim 7 , wherein the content comprises an advertisement.
10. The one or more non-transitory computer-readable media of claim 7 , wherein the content comprises active content.
11. The one or more non-transitory computer-readable media of claim 7 , wherein determining content that has the threshold relevance comprises:
determining reply content associated with the reply; and
determining content that has the threshold relevance based on the reply content.
12. The one or more non-transitory computer-readable media of claim 7 , wherein determining content that has the threshold relevance comprises:
determining reply content associated with the reply and communication content associated with the communication; applying a weighting to a criteria defining a contribution of the reply content to the reply and the communication content to the communication; and
determining, based on applying, content that has the threshold relevance.
13. An electronic system comprising:
one or more processing devices; and
one or more non-transitory computer-readable media storing instructions that are executable by the one or more processing devices to perform operations comprising:
identifying, by the one or more processing devices, voice content of a communication that was sent from a first user account for delivery to a second user account, the communication being part of a conversation;
identifying, by the one or more processing devices, voice content of a reply to the communication, the reply having been generated by the second user account for delivery to the first user account, the communication being part of a conversation;
determining, by the one or more processing devices, content that has a threshold relevance to one or more of the communication or the reply to the communication through analysis of one or more of the transcribed content of the voice content of the communication or transcribed content of the voice content of the reply to the communication; and
causing, by the one or more processing devices, a presentation of the determined content and the reply in a graphical user interface, with the determined content positioned proximate to data displaying the conversation in a graphical user interface.
14. The electronic system of claim 13 , wherein determining content that has the threshold relevance comprises:
determining content that has the threshold relevance based on keywords derived from voice content of the reply to the communication.
15. The electronic system of claim 13 , wherein the content comprises an advertisement.
16. The electronic system of claim 13 , wherein the content comprises active content.
17. The electronic system of claim 13 , wherein determining content that has the threshold relevance comprises:
determining reply content associated with the reply; and
determining content that has the threshold relevance based on the reply content.
18. The electronic system of claim 14 , wherein determining content that has the threshold relevance comprises:
determining reply content associated with the reply and communication content associated with the communication; applying a weighting to a criteria defining a contribution of the reply content to the reply and the communication content to the communication; and determining, based on applying, content that has the threshold relevance.