Deep linking and Deep learning

Recently, a number of methods have emerged for finding information within applications. Such approaches are known as deep linking because they point not just to the right app, but to the specific place within an app’s structure where the information is stored.

Unfortunately, each of the major players has its own approach for how deep links should be structured. Google has its app indexing, Facebook has App Links, URX promotesomnilinks and Quixey is pushing AppURL.


Deep learning is the new big trend in the field of Machine Learning. It’s like machine learning on steroids.

Imagine you’re building a shopping recommendation engine, and you discover that if an item is trending and a user has browsed the category of that item in the last day, they are very likely to buy the trending item.
You find these two variables are so accurate together that you can combine them into a new single variable, or a feature. (Call it “trending_likely_purchase”, for example).
Finding connections between variables and packaging them into a new single variable is called feature engineering.

Deep learning is automated feature engineering.

Deep Linking – Our app-centric world has created an unexpected problem. This problem is so simple and we have all become so accustomed to it that we don’t even think about it anymore.

And that problem is that apps can’t easily talk to each other.
Unlike the web, where each page has its own unique, published URL, apps are essentially a series of non-published screens. Apps are isolated, “walled gardens” of information, almost completely cut off from one another. Yes, tapping a button in an app and getting directed to a page on the mobile web is common (although a bit jarring). But it’s much rarer to tap a button in an app that takes youdirectly inside of another app.


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