Author: James Vincent
Google has recruited its in-house machine learning framework, TensorFlow, to help train additional spam filters for Gmail users. With the new filters in place as of last month, the company claims Gmail is now blocking an extra 100 million spam messages every day.
In the context of Gmail’s 1 billion-plus users, this isn’t necessarily a huge gain — it works out as one extra blocked spam email per 10 users — but Google says Gmail already blocks 99.9 percent of spam, so working out what constitutes that last sliver of a percentage is hard.
“Getting the last bit of incremental spam is increasingly hard.”
“At the scale we’re operating at, an additional 100 million is not easy to come by,” Neil Kumaran, product manager of Counter Abuse...
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Continue reading...
Google has recruited its in-house machine learning framework, TensorFlow, to help train additional spam filters for Gmail users. With the new filters in place as of last month, the company claims Gmail is now blocking an extra 100 million spam messages every day.
In the context of Gmail’s 1 billion-plus users, this isn’t necessarily a huge gain — it works out as one extra blocked spam email per 10 users — but Google says Gmail already blocks 99.9 percent of spam, so working out what constitutes that last sliver of a percentage is hard.
“Getting the last bit of incremental spam is increasingly hard.”
“At the scale we’re operating at, an additional 100 million is not easy to come by,” Neil Kumaran, product manager of Counter Abuse...
Continue reading…
Continue reading...