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What are the real reasons Google is rewriting title tags? What technology is powering these article rewrites and what does it mean for how publishers and search marketers write title tags?
Data Collection Before Title Tag Rewrites?
In May Google announced an updated platform that helps create new algorithms as well as update older algorithms. This platform is known as Keras-based TF-Ranking.
The updated Keras-based TF-Ranking platform allows the rapid prototyping, testing and rollout of new algorithms. It was also used to help BERT become even more powerful with a new architecture called, TFR-BERT.
What is notable is that it allows the rapid development and deployment of new LTR (Learning to Rank) models, algorithms and improvements to existing algorithms.
This is what Google published:
“In May 2021, we published a major release of TF-Ranking that enables full support for natively building LTR models using Keras, a high-level API of TensorFlow 2.
Our native Keras ranking model has a brand-new workflow design, including a flexible ModelBuilder, a DatasetBuilder to set up training data, and a Pipeline to train the model with the provided dataset.
These components make building a customized LTR model easier than ever, and facilitate rapid exploration of...
Read Full Story: https://www.searchenginejournal.com/google-title-tag-rewrite-reasons/419452/
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