Java programming implementation of user based collaborative filtering recommendation algorithm code example

Collaborative filtering is simply to use the preferences of a group with similar interests and common experience to recommend information of interest to users, Individuals give a considerable degree of response (such as scoring) to the information through the cooperative mechanism and record it to achieve the purpose of filtering, so as to help others screen the information. The response is not necessarily limited to the information of special interest, and the record of information of special interest is also very important.

Collaborative filtering can be divided into rating or social filtering. Collaborative filtering is hot in the global Internet field because of its excellent speed and robustness

The core idea of usercf is to simulate the vector similarity according to the user data. According to this similarity, we find the similar users of the specified user, and then recommend the things bought by the similar user but not bought by the specified user to the specified user. The calculation of recommendation degree also combines the accumulation of similarity between the similar user and the specified user. Note that the default is the user's implicit feedback behavior, so the influence factor of each item is 1 by default.

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The above is all about the code example of user based collaborative filtering recommendation algorithm implemented by Java programming in this paper. I hope it will be helpful. If there are deficiencies, please leave a message to point out. Thank you for your support!