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Try an Amazon account which is shared with family members.

Amazon thinks I like electronics, Hello Kitty and bows.

I've got an arduino-powered robotic bow-gun firing Hello Kitty droid-doll you might be interested in...

Well, that's hardly Amazon's fault, it is?

Never mind that one account used for shopping for a family is a fairly common use case...

Do you want them to start reading your mind, or stop suggesting stuff altogether?

As suggested by another commenter, that's a false dichotomy. I'd argue there's lots of room for innovation and refinement here.

Manual or algorithmic identification of family members is one option, but I think there's something more to be gained here by understanding the behavior just a bit more abstractly... Shopping moods? Modes? Targets? Tasks? Something, possibly – but I'm only guessing here. The real power could come from actually working with/doing user research and prototyping.

I'd love the chance to work on such a project, actually – I had a chance to work with data from a study on the online shopping habits of mothers a few years ago and there's lots of interesting angles to possibly explore, IMHO.

They could realize those things are not usually liked by the same person, ask a user if this is a family account and let you define family members and their preferences within that account.

Honestly, I have to be nervous logging into my personal account with other people standing around. The "Recently Viewed" and "Recommended for You" are full of things I'd really rather my family members and most of my friends see.

I suspect you meant "not see".

That said, you can manage that at http://www.amazon.com/gp/history

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