The social media is huge and we need tools that performs a deep analysis of all this data, filter out items of my interest, specially from the historical data (with our permission, of course) from our presence in the web and bring items and products relevant to us without loosing the discovery process associated with the serendipity. One of the solutions is a powerful recommender engine fed by this Social Genome.
A perfect example for this proccess, which we call the translation, is when you mentioned several times about Apple products (such as macbook, ipod, iphone, etc) at your tweets. Even you never used the word "Apple", we can use the Social Genome to detect the products and infer that you are interested in Apple products. The following figure illustrate certain kinds of entities and relationships collected in the Social Genome:
Another important component in this proccess is the product side. We need extract more information from their products portfolio. Items must be juiced in order to get all its meta-data available. Imagine the movie Batman where we have details about the year, genre, cast, production, direction, sinoypsis, etc. All this data can be used to build the DNA Item and be expressed by a collection of dimensions that represent the item profile. With those profiles (DNA User and DNA Item) we compute the similarity between user and items in order to produce a list of top recommendations and related explanations.
|The Social Architecure of the Recommender|
The final result can be shown in several mediums: mobile apps, widgets, web, API's, pluggins, etc. It is important the usability and how you will present all this information for a particular user. That's why the user interface must be simple and easy to navigate and have mechanisms to collect the user's feedback for the suggestions given by the engine. This proccess is cyclic, so when you give a feedback (a like or dislike or a comment about the suggestion), this piece of information is handled and leveraged to power your DNA profile.
|A particular medium of the recommendations: Ipad Demo|