Cold boot recommended method, device, computer equipment and storage medium

Abstract

The embodiment of the present application belongs to the field of big data technology, and relates to a cold start recommendation method and related equipment, which can be applied to the field of smart security, including: when receiving the first key sent by the first server, calculating the first key of the local server Scoring parameters; when receiving the first encrypted data sent by the second server, calculate the first encrypted similarity according to the first scoring parameter and the first encrypted data, and decrypt the first encrypted similarity according to the first key to obtain Decrypting the first similarity; sending the first decrypted similarity to the first server; when receiving the total similarity sent by the first server, generating an item recommendation table for the target user according to the total similarity. In addition, the present application also relates to blockchain technology, and the item recommendation table can be stored in the blockchain. This application realizes the protection of user privacy information during cold start recommendation.

Description

technical field

[0001] The present application relates to the technical field of big data, and in particular to a cold start recommendation method, device, computer equipment and storage medium. Background technique

[0002] With the rapid development of the Internet and e-commerce, the recommendation system has become an important tool for enterprises to improve their market competitiveness. Among them, collaborative filtering is the most famous recommendation algorithm. However, collaborative filtering often faces the problem of cold start. When a new user joins the system, the user does not have historical rating data in the system, and the similarity between users cannot be calculated according to the traditional algorithm, so it cannot be recommended.

[0003] Existing cold starts often need to combine multi-party data, that is, use the user's historical information in other scenarios to solve the cold start problem, but this will involve privacy issues, and different ...

Images