论文信息 - Parallel Collaborative Filtering Recommendation Algorithm based on Cloud Computing

Parallel Collaborative Filtering Recommendation Algorithm based on Cloud Computing

The paper Proposed Item parallel collaborative filtering recommendation algorithm (IP-CF). Through designing efficient parallel algorithm, compute-extensive procedures are distributed to different processing nodes in Hadoop platform. Taking advantage of parallel computing, we accelerate the response of recommendation. The experimental results show that our proposed algorithm IP-CF is more efficient and scalable than current parallel algorithms.

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