A cloud recommendation method based on usdr model

Abstract

A cloud recommendation method based on the USDR model, including the following steps: Step 1: USDR data model modeling, the process is as follows: 1.1 User data model modeling, user data is basically divided into six categories: user basic data, time data, location Data, environmental data, user preference data and historical data; 1.2 System data model modeling, system data model includes: basic data, functional data and other data. The second step: the cloud recommendation method based on the USDR model, the process is as follows: 2.1 User-based cloud recommendation method; 2.2 System-based cloud recommendation method; Step 3: Use the USDR model-based cloud recommendation algorithm to obtain the user recommendation list. The present invention adopts the USDR model oriented to multi-source heterogeneous data, and quickly obtains different recommendation degrees of users and systems by classifying user data and system data, so as to realize efficient recommendation of data in a cloud environment.

Description

technical field [0001] The present invention relates to a cloud recommendation method based on USDR model Background technique [0002] The Web has entered the "2.0 era" with the advancement of technology and the update of information. At the same time, due to the acceleration of various information updates, Internet data resources have also entered the era of big data cloud. To a certain extent, Internet spam and There are also more and more invalid resources. When ordinary users want to find some useful resources, how to filter out specific resources from massive data has become an urgent problem to be solved. [0003] In the cloud environment, the unified modeling of cloud data has always been a research hotspot. For various information recommendation systems deployed in the cloud, the data structure is multi-source and heterogeneous, so users have higher requirements for data flexibility and security. With the continuous development of data information technology, netw...

AI Technical Summary

Problems solved by technology

[0009] In order to overcome the inability of the existing push method to solve the problem of personalized recommendation for users in the cloud environment facing multi-source heterogeneous data, the present invention aims at the characteristics of multi-source heterogeneous data in the cloud environment, and integrates mobile Internet security and privacy etc., the present invention provides a cloud recommendation method based on the USDR model that effectively solves the user's personalized recommendation problem in a cloud environment oriented to multi-source heterogeneous data, and adopts USDR (User System Data Relationship) oriented to multi-source heterogeneous data Model, by classifying user data and system data to quickly obtain different recommendation degrees of users and systems, so as to realize efficient recommendation of data in the cloud environment

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