Social Search “i.ntere.st” Brings You Discoveries By Object Check-in

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Thanks to sponsors serving us a venue, great meals and beverages, Startup Dating vol.6 event was successfully finished even under the difficult situation caused by the quake. We apologize you it was a hurried event since we needed finish it earlier than usual.

We had seven LT presenters. We are very sorry that some of them has been hindered to present in good condition due to technical difficulties with a projector and audio amplifying. We will prepare more to prevent these troubles. From the LTs. we would like to feature two brand new services, both of which are check-in-based services. (Each of them is covered in a different post.)

I.ntere.st allows you to check in what you are interested in, and to find a discovery by sharing your experience with other users. It has a feature as a social recommendation system. Daisuke Takase from Tattva made it, serving Tokyo-based social app developer CbIR as the CEO, and he’s also known for having developed a social app titled the Bakumatsu Heroes in association with gumi, a social app developer too.

In terms of getting your expecting search results, we used to use always Google search, but as social media such as Facebook and Twiitter becomes more popular, we see more frequently social recommendation and social search stuffs.

To get a Google search result, we have to throw a query to them. But in social media, we can learn something from tweets by someone about what we have never experienced nor learnt. It’s a human-powered recommendation.

Register an object of your interest and find someone’s list of objects of his/her interest (CHAIN OF PEOPLE). You may feel like discovering new interests through a chain of objects.

Meanwhile, how they motivate users to register their interests on the service? Similar to the service in terms of sharing your interest with others, Blippy lets you share your purchases and see what your friends are buying online. It adopts an extreme approach using your credit card details to obtain your purchase records, but an accumulation of your shopping experiences can highly contribute to collecting the information on how you prefer or how you think because it is a part of your life.

A mobile app may gain stickiness of the service. The company plans to develop the Android app and the iPhone app, Mr. Takase says. Making more fun by registering interests may bring them a big traffic. That makes a big ad revenue then.

The service was just introduced one day prior to the LT presentation date, not yet a perfect one, it has more to consider and develop for motivating potential users to sign up. However, we expect them to be a platform enabling new discoveries.

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