关键词: 最近邻算法, 前瞻算法, 选择抽样算法, 推荐系统

Abstract: The decline of recommending quantity resulted in the extreme sparsity of user data was dealt with,based on nearest neighbor algorithm and the combination of selective sampling and lookahead framework for recommendation system,with the purpose of improving the accuracy of recommendation.The algorithm was put into experiment,with much lower average error rate and higher stability.

Key words: nearest neighbor algorithm, lookahead algorithm, selective sampling, recommendation system