Recommended related learning & typical algorithms, typical features, typical recommendation system framework

In general, the information explosion has created an overloaded message. There are two main types of solutions: Search and recommendation. The search is the active purposeful, the intention is clear, the recommendation is non-active, the intention is not clear.

The most classic aspect of recommendation is the collaborative filtering recommendation. My blog Here are two articles, a partial theory, an article about the ALS actual combat.

"Collaborative filtering of CF & ALS and implementation on spark"

"Collaborative Filtering & Spark machine learning Combat"

Others also have some typical recommended algorithms, as follows:

Typical recommended features, as follows:

The typical recommended system framework is as follows:

Recommended related learning & typical algorithms, typical features, typical recommendation system framework