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Big data in the system how to solve the problem of cold start, I believe that many inexperienced people do not know what to do, so this paper summarizes the causes of the problem and solutions, through this article I hope you can solve this problem.

For the new items entering the system, the problem that the items can not be diffused and displayed due to the lack of behavior data, that is, the problem of cold start.

As we all know, there are two recommendation algorithms in recommendation system, one is based on content, the other is based on collaborative filtering. To solve the problem of cold start of items, we can start from these two aspects:

Method 1: use a method based on content similarity, using old items with a new item

Method 2: use the method of behavioral temptation, and add probing if the effect is good.

Introduce the online legendary "Douyin multi-level traffic pool recommendation algorithm"

After reading the above, have you mastered the method of how the system in big data solves the problem of cold start of items? If you want to learn more skills or want to know more about it, you are welcome to follow the industry information channel, thank you for reading!

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