About a year ago there was a rainbow in Tokyo. That was the first time I realized how many users we had in Japan.
People were taking pictures of the rainbow from every angle from within the city, posting them and sharing them with their friends.
The postings all together told the story even better.
Today there is a big fireworks display in Tokyo, showing how we grew over the year, based on the number of postings from the festivities.
It was kind of a coincidence I was looking at the main Moby stream. This triggered me to start thinking about the contextual information we have on the Mobypicture platform we can use to make content more insightful and capture serendipity.
With MobyNow we are trying to solve this. Not just for Mobypicture postings, but for all shared social media.
We look at content and then try to figure out the context to categorize this and match it with other content.
Basic stuff we use to define the context:
- the title and description might contain words/hashtag
- geolocation
- contacts and lists of people
There is also more advanced stuff we will start using soon:
- face recognition
- object recognition
- semantics and lingual analysis
When content qualifies, we can aggregate it and direct the social media traffic to the MobyNow platform.
Check out what MobyNow does and give us your feedback
To check out the fireworks from all different angles in Tokyo:


One Response
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Picture itself tells a lot of content. But if the admin can add some contextual meaning for the picture — better!
casting professional