The hybrid recommendation model of commodity based on parallel computing

摘要

Instead of hybrid recommendation, recommendation system research mainly focused on improving the traditional algorithm. So, this paper proposes the hybrid recommendation model of commodity based on parallel computing. This model improves the results of the recommendation through combining various ways that have existed in the main e-commerce websites. In this model, there is one big problem that the amount of calculation is beyond the scope of our ability. Parallel computing can effectively solve this problem. The result shows that this model can provide users with accurate and effective recommendation.