Gmail employs a number of AI-driven filters that determine what gets marked as spam. Simply put, to protect users at scale, we rely on machine learning powered by user feedback to catch spam and help us identify patterns in large data sets-making it easier to adapt quickly to ever-changing spam tactics. We'd like to share even more details here. Recently, some misperceptions circulated regarding how Gmail spam filtering works, but the academics whose research was under discussion have clarified their findings. While Gmail users appreciate these tools, we sometimes get questions from organizations that send large amounts of emails (also known as bulk senders), including retailers, nonprofit organizations, and groups from across the political spectrum, about how our mail classification tools work. Our protections and systems are designed with this philosophy in mind. Spam filters exist to stop unwanted, unsolicited, or dangerous messages from reaching inboxes, so that users can focus on the content they wish to receive. We’ve built a strong foundation, and over time, we’ve continued to improve our systems-blocking more than 99.9 percent of spam, phishing, and malware from ever reaching users’ inboxes. Every day, Gmail’s filtering capabilities and advanced security protections help billions of people stay safe and get things done more efficiently.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |