Content Recommendation

Basically, the most confronted form of native advertising on the internet is Content Recommendation. You are leading your life on the recommendations of your surroundings. In this organic yet organized lifestyle, you never know what you are going to see and what tunes you to do what. Recommendations might come to user’s attention irrespective of their fields of interest. So, to acquire the user’s impression and close interest on your blogs/products/services by your content, you need to provide more relevant content that your user wants to dig.



What we currently have now is ANI (artificial narrow intelligence) that is Google search, chess algorithms, self-driving cars, spam filters, IBM’s Watson, Amazon’s Recommendations etc. In other words, the intelligence narrowly confined to be very good at a particular task but this is not anywhere near the AGI (artificial general intelligence) which means the human-level intellect, whereby the program will be able to consciously make decisions over wide range of topics, have the ability to analyze, reason, and most importantly learn. This Artificial Intelligence is nothing but plagiarizing the brain. At this point, once the AGI is reached, the time till it becomes ASI (Artificial Super-intelligence) might be very short since once the artificial intelligence engages in constant recursive learning, its rate of getting smarter will itself increase to the level far surpassing all of our ingenuity combined.



In the process of building brand awareness, social media is a sure-shot crowd puller. But the way how social media management is necessary to hit the right audience, same way the customer engagement i.e., bringing up those organisations managing to interact with their customers, to monitor their discussions and to engage with their loyal reviewers is necessary. This post will explain how you can automate Facebook Ad comments management using smart social, a Social Media AI Assistant.