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US 2019/0244600 A1Published application
Advertisement selection by linguistic classification
AssigneeSoundHound, Inc.
InventorsJun HUANG, Kiran Garaga LOKESWARAPPA, Joel GEDALIUS, Bernard MONT-REYNAUD
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Abstract
A method is provided for advertisement selection. The method includes recognizing words from user speech over a large number of interactions, computing a number of unique words uttered during the interactions, classifying the user by the number of unique words uttered during the interactions, and selecting an advertisement targeted to the classified users.
Claims3
A method of advertisement selection, the method comprising:
- recognizing words from user speech over a large number of interactions;
- computing a number of unique words uttered during the interactions;
- classifying the user by the number of unique words uttered during the interactions;
- and
- selecting an advertisement targeted to the classified users.
2 more elements
A method of advertisement selection, the method comprising:
- recognizing words from user speech over a large number of interactions;
- computing an average word length of the recognized words;
- classifying the user by the average word length;
- and
- selecting an advertisement targeted to the classified user.
2 more elements
A method of advertisement selection, the method comprising:
- performing speech recognition to recognize words;
- matching the recognized words to keywords associated with advertisements in an advertisement database;
- and
- selecting, from the advertisement database, an advertisement having a keyword that matches at least one of the recognized words.
1 more element
Dependencies are inferred from the claim text.