A method and system for an online recommendation based social media network, designed to bring people together, through providing and receiving multi-dimensional, dynamic, personal recommendations. A user initiates one of the following actions: Share, get or ask for recommendations on businesses or places based on their location, products from third party, also based on the location. As well as media content such as but not limited to movies, videos, music and other types of recommendations such as books, articles, recipes, websites, mobile apps. A recommendation has a multitude of dimensions that help prospective users make a smart decision whether or not to use this recommendation, such dimensions include type of the recommendation (Business, product, movie, recipe, etc. . . . ), a proprietary scale “Yupping” of how much the user likes it: Good, great or awesome. A set of pre-defined positive reasons stating what they like about it, a comment to describe their own experience in a textual manner, a picture or video to describe their own experience in a visual manner, external links to get extra information about the recommendation or give purchase or viewing options, a geo location (when applicable), contact information (when applicable), and every other person inside or outside of the user's network multi-dimensional aspects of this recommendation. The user can also ask for a recommendation, and can be recommended themselves. The user being a recommendation derives directly from their profession and a bio, that they have entered to market themselves and also a reputation based how many of their recommendations people liked and how much they liked them.
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