How Big Data is Used in Facebook?
Big Data and Facebook :
Facebook, a top social media that has billions of users world wide is generating around 500+ terabytes of data everyday. In which 2.7 millions were like actions and 300 million datas are photos. The complexity facebook data handling is dealing with unstructured data. So, it is a big responsibility for facebook to handle all this data. But how they gonna make it is the concept?
Here, in this article how facebook is using big data analytics in a proper way.
How Big Data is Used in Facebook?
The main business strategy of Facebook is to understand who their users are, by understanding their user’s behaviors, interests, and their geographic locations, facebook shows customized ads on their user’s timeline. How it is possible?
There are around billion levels of unstructured data has been generated every day, which contains images, text, video, and everything. With the help of Deep Learning Methodology ( AI), Facebook brings structure for unstructured data.
A deep learning analysis tool can learn to recognize the images which contain pizza, without actually telling how a pizza would look like?. This can be done by analyzing the context of the large images that contain pizza. By recognizing the similar images the deep learning tool will segregate the images that contain pizza. This is how data Facebook is bringing a structure to the unstructured data.
Deep Learning Use Cases In Facebook
1. Textual Analysis
Facebook uses DeepText to analyze the text data and extract the exact meaning from the contextual analysis. This is semi-unsupervised learning, this tool won’t need a dictionary or and don’t want to explain the meaning of every word. Instead, it focused on how words are used.
2. Facial Recognition
The Tool used for this is DL Application, that is DeepFace which will learn itself by recognizing people’s faces in photos. That’s why we’re getting the name of the friends while tagging them in a post. This is an advanced image recognition tool because it will recognize a person who is in two different photos is the same or not.
3. Target Advertisements
Facebook uses deep neural networks to decide how to target audience while advertising ads. This Artificial intelligence can learn itself to find as much as can about the audience, and cluster them to serve them ads in a most insightful way. Because of this serving the highly targeted advertising, Facebook has become the toughest competitor for the ever known search engine Google.
Reference : How facebook is using big data?
