

El algoritmo Hummingbird de Google es esencial para el funcionamiento de la búsqueda de voz. En esta sección encontrarás información detallada y actualizada sobre cómo funciona este algoritmo y cómo puedes optimizar tu sitio web para que sea más visible en las búsquedas de voz.
Antes de Hummingbird, Google se centraban en palabras clave individuales y no tomaba en cuenta el contexto y el significado de las búsquedas. Hummingbird ha cambiado esto y es capaz de comprender el significado de las búsquedas y proporcionar resultados más precisos y relevantes.
Algunas de su características son:
Actualmente ha surgido Google BERT. Podría entenderse como una evolución de Google Hummingbird aunque Google BERT es capaz de responder a las consultas de búsqueda más complejas y naturales.
BERT fue lanzado por Google en octubre de 2019 y utiliza una tecnología de procesamiento del lenguaje natural (NLP) llamada «transformers» para analizar y comprender el lenguaje natural. Los transformers son una clase de modelos de aprendizaje automático que se utilizan para procesar y comprender el lenguaje natural.
BERT se aplica principalmente a las consultas de búsqueda que contienen palabras clave de conexión, como «para», «a», «en», etc. Estas palabras clave de conexión pueden ser difíciles de interpretar para los algoritmos de búsqueda tradicionales y pueden afectar la precisión y relevancia de los resultados de búsqueda. BERT es capaz de comprender la intención detrás de estas palabras clave y proporcionar resultados de búsqueda más precisos y relevantes.
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