Rfave analyzes your Facebook profile to determine how similar you are to other users.
For example, let’s meet Pete and Mort. On Facebook, they both list Nirvana, Dr Who, and “The Unbearable Lightness of Being” among their likes. Because they appear to share similar tastes, rfave will offer similar recommendations to Pete and Mort when they search for something, like pizza in Seattle.
Now, let’s meet Annie. She likes Toby Keith, “Seven Habits of Highly Successful People,” and “Everybody Loves Raymond.” Since her tastes seem pretty dissimilar from Pete and Mort’s, when she searches rfave for pizza in Seattle, she might see a different result.
Of course, nobody lists everything they like on Facebook. We’re all more complex than our online profiles, and that’s okay: the more recommendations you make using rfave, the more accurate its recommendations for you will become.
To use our example above, although Annie, Pete and Mort differ in their musical, literary and TV preferences, perhaps they all love Big Apple pizzeria in Seattle. If they all recommend it, rfave will know that Annie’s tastes are more similar to Pete and Mort’s than they first appeared. So when Pete and Mort search for sushi in Seattle, Annie’s suggestion might appear.
Yes, rfave is similar to Yelp, Citysearch, TripAdvisor and Angie’s List, because you can use it to get recommendations for local restaurants and businesses. What sets rfave apart, though, is that its results are tailored specifically to you.
There are two ways to improve your experience with rfave. First, make recommendations! With every recommendation you make, you help refine your preferences with rfave, and it can better match you with people who share similar tastes.
The second way to improve rfave is to get other people to use it! More users means more recommendations and more options for you. Rfave launched in early 2011, so it’s still pretty new. Someday, you’ll be able to search rfave to find new things to love about your city, or to find great treasures when you’re traveling.
In the future, you’ll be able to flag a recommendation that you feel is inappropriate for you. We have this slated for a future release.
Rfave is for lovers, not haters! There are lots of places on the web where you can find or post negative reviews. The whole point of rfave is to offer recommendations.
We use Google LocalSearch to locate businesses and to grab ticky-tacky information like addresses and phone numbers. If the business doesn’t show up in the list, it’s because Google doesn’t recognize it. Please feel free to send us business suggestions at firstname.lastname@example.org.
In the future, there’ll be a slick form for you to do this, but until then, you can email email@example.com.
Yes! Please visit the page for your business and click the “Click here to claim!” link. We’ll keep you updated about our business services as we release them.
If you don’t see a page yet for your business, just recommend it! But as a savvy business-owner, you probably have already done that.
Please bear with us while we say some things about online communities:
You know how people feel free to say things anonymously that they might not say in person or to your face? And how, in the Age of the Internets, this has led to people called Trolls saying Awful Things Just To Be Incendiary?
We don’t like that.
And you also know how, in the Age of the Internets, people are crazed with improving their Search Engine Optimization and Tooting Their Own Horns All Over The Damn Place?
We don’t love that, either.
When you make a recommendation on rfave, we want it to be genuine, and the best way to encourage sincerity is to tie your recommendations to your real live persona, with your real live name. This way, if you say nasty things, your whole social network will know it’s you. And if you’re a business owner and you’re the only one saying nice things about your business, other users will be able to see through the BS.
To put it bluntly, we make you log in using Facebook because we believe it will make everybody behave honestly.
Yes. Please see above regarding anonymous recommendations to learn why.
Not yet, but it’s coming soon!
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