The subject presented itself to me and I seized the opportunity. In 2011 Nicolas and Vincent from the 50A agency had a Ethiopia Email List called I Brain , aimed at building intelligent tools and systems capable of extracting information and producing knowledge with high added value from very large volumes of data. on social media.

With this in mind, they launched an R&D process and made a call for research in my University of Compiègne. In the same vein as I Brain, 50A also launched I Place, an application that plans your ideal day based on what you like, share and comment on social networks. I was directly drawn to this subject because social media play a growing role in our daily life and today have a huge number of users. It is an area with many possibilities and challenges.

Xuan Can You Present The System That You Developed In Your Thesis?

As part of my thesis, I developed a system called SoCoSys (Social Collective System) which facilitates the user’s task when he wants to more efficiently use a lot of interesting information but distributed on different social networks. I took a complete approach from concept to prototype.

Ethiopia Email List

SoCoSys is a web application that allows users to connect their social networks to facilitate filtering and sharing of all their data. Filtering will be more suitable for personal use while sharing will be more suitable for professional (and collective) use. The system is user- centric, it is adaptable and customizable as desired.


What Are The Different Steps To Filter And Share Data Through Your System?

For filtering and sharing data there are several steps to put in place. First of all, you have to identify the user’s social data, then aggregate their data in order to preprocess and enrich them. The user can then either keep the information to himself or allow group collaboration. Relevant content is automatically extracted from aggregated data based on user interests, and is then categorized by subject for easy access.

Google Analytics also has a well-known flaw. The solution cannot measure the time a user was on your site unless the user did some other action, such as opening a new page. The indicator will therefore remain at 0 if there have been no actions even if the user will have spent many minutes on the same page.


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