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We’ve been using our new Acts As Recommendable plugin on metrotwin.com and it’s been interesting to see how it’s performing in a real-world situation.
Bookmarks (places) are integral to Metrotwin, and a user can associate themselves with a bookmark by ‘Loving it’, saving it to their profile, or by stating they’ve been there.
Data-based recommendations have really revolutionized marketing and web services, making patterns out of the massive amount of information collected about people in order to give them relevant ads, products, friends and music as well as whole host of other things.
Amazon, for example, tracks my browsing history and buying habits to give me a list of products that I’d hopefully be interested in, and usually their algorithm is spot on. I’ve no doubt that recommendations have contributed greatly to their success.
Likewise, Last.fm indexes my music collection and tracks what I listen to in order to give me recommendations about music I haven’t listened to. Like Amazon, they’re usually give pretty good recommendations
