关键词: 方案推荐, 稀疏性, 冷启动, 灰色关联预测, 信任云

Abstract: Aiming at the data sparsity problem of traditional recommendation method,common methods are limited to the amount of data.Therefore,the grey correlation prediction method was used to calculate the correlation coefficient between the program score data to predict the vacancy score data.In terms of the cold start problem for new users,the similarity of users' interest features and the similarity of users' ratings based on trust cloud were considered.Then,the comprehensive similarity between users was calculated to recommend the appropriate solution to the new user.Finally,the method validation was carried out by taking the car scheme recommendation as an example.Effectiveness of the method was proved by comparing with the recommendation algorithms such as collaborative filtering and cloud model.

Key words: scheme recommendation, sparsity, cold start, grey correlation prediction, trust cloud