基于协同过滤混合算法的餐饮推荐系统设计与实现

Research on catering recommender system based on hybrid collaborative filtering algorithm

为了改善单一协同过滤算法在餐饮推荐系统中存在的"数据稀疏"问题,采用基于用户的协同过滤算法和基于物品的协同过滤算法相融合的方式,两种算法之间取长补短,设计餐饮推荐系统推荐引擎架构,实现基于协同过滤混合算法的餐饮推荐系统。

In order to improve the data sparsity of the single collaborative filtering algorithm in catering recommender system, the user-based collaborative filtering algorithm is combined with the commodity-based collaborative filtering algorithm, to design the recommendation engine architecture of the catering recommender system, and thereby implement the catering recommender system based on hybrid collaborative filtering algorithm.