1. What is a recommended algorithm
The recommended algorithm was introduced as early as 1992, but in recent years, with the development of the internet, the development of the internet, the development of the internet and the development of the internet, the collection of data has become easier. For example, when we have a problem, we use a search engine to find, google or hundred degrees, and then they give us a lot of answers, which is an example of a recommended algorithm. And for example, i've recently seen this movie of the devils, and i think it's very nice to open up a bean petal movie to look for a similar film, and one of the people who likes this movie likes it, and these are recommended algorithms
2. Conditions for recommended algorithms
After all these years of development, various recommended algorithms have been proposed, but in any case several basic conditions of the recommended algorithm cannot be bypassed:
These are the conditions that exist, and there will be different derivatives for differences in reality, as in the case of user-based synergetic filter algorithms and object-based synergetic filter algorithms. Although it has evolved over the years, its thinking has not changed, mainly on the measure of calculating similarity。
3. Coordinated filter algorithms based on user vs item based filter algorithms
What is the difference between a user-based synergetic filter algorithm and an object-based synergetic filter algorithm? First of all, "coherent filters": "synergy is helping people together, filtering is telling you what you're talking about, or it's too much raw information." obviously, the difference between the two is one based on the user and one based on the object. By definition, "based on
