Research on Knowledge Service recommendation system based on cloud computing

Research on Knowledge Service recommendation system based on cloud computing

Henan Normal University type big double

The cloud computing platform provides a natural advantage for recommender systems. First, the data storage in the cloud is clustered, the storage management is virtualized, theoretically provides the capacity-limited data storage ability and the efficient data throughput ability for the recommendation system, so the recommendation system can have the fast acquisition, the massive training data, and then, to provide the high quality recommendation result; The cloud's distributed computing power and physical resource virtualization provide a higher responsiveness to recommender systems, which helps to provide personalized referrals for a large number of users.

Through the service of knowledge, the recommendation system, cloud computing related technology elaboration, constructs the personalized recommendation system model, constructs the knowledge base in the cloud environment, constructs the user model, and on the basis of the MapReduce, has improved the recommendation algorithm based on the collaborative filtering, causes the recommendation system to adapt the current massive data age the computation request. In theory, it has a certain significance to explore the knowledge service in cloud computing environment, and it has reference value in practice to recommend personalized knowledge service to learners.

Research on Knowledge Service recommendation system based on cloud computing