MELBOURNE: Have you ever chatted with a friend about buying a certain item and been targeted with an ad for that same item the next day? If so, you may have wondered whether your smartphone was “listening” to you.
By classifying and clustering this information, advertisers improve their recommendation algorithms, using something called recommender systems to target the right customers with the right ads.There are several machine-learning techniques in artificial intelligence that help systems filter and analyse your data, such as data clustering, classification, association and reinforcement learning .
If you start actively liking posts about “mindfulness” on a social platform, its system will learn to send you advertisements for companies that can offer related products and content. They can then start to target you with ads based on not only your own data, but on data collected from your friends and family members using the same platforms as you.
Facebook"likes" are part of data profiles which can be scraped by marketers and others AFP/ROBYN BECK
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