LoveThis, teach you to store and search friends' recommendations

According to foreign media reports, who do you trust best when you seek referrals, or algorithm or your friends, or a combination of machine learning and social graphing? This is what many startups are currently trying to figure out. Today, LoveThis.com, a beta version of Beta, takes a firm hold of your friend.

LoveThis's "black book" includes the products and services your friends recommend: from websites and apps to places to eat, to good plumbers. While this may sound quite general, the site's assumption is that your friend not only knows which products and services are best, but that "good" is always valid and does not change over time, not just when you really seek out recommendations Only effective when. LoveThis encourages users to store this type of information as structured, searchable data for future use in an effort to save users the trouble of recalling a recommended annoyance.

Of note is Alexis Dormandy, founder of LoveThis, a former board member of Virgin Group and founding director of Virgin Mobile and Virgin Active. Since then he has been the chief marketing officer at Orange and is the chairman, investor and consultant for many European companies.

LoveThis encourages users to use Facebook login, you can also connect Twitter account to this service. So you can use #lovethis on Twitter to send your recommendation to appear on LoveThis. In theory, this sounds cool. However, the more structured the data is, the better the service will be, so users actually need to log in to LoveThis to edit the testimonials from Twitter to make sure they conform to the prescribed format. If the user provides a mobile phone number, the recommendation can also be sent by SMS. Although post-editing is a bit tedious, backing Twitter / SMS makes LoveThis mobile and real-time.

On LoveThis, users can search for recommendations on any topic through their social graph (who they trust, who have been friends). Interestingly, however, LoveThis also provides a separate "experts" tab in search results. "Expert" is the super user selected by LoveThis, the selection is based on their expertise. Anyone can apply to become an "expert."