关键词: Web多人协作平台, 用户特征提取, 个性化推荐

Abstract: Based on the issue that how to acquire the interesting information for users quickly and effectively from massive data, this paper proposes a personalized recommendation algorithm based on user characteristics in Web multi-cooperation platform. On the basis of extracting user characteristics, firstly through calculates the similarity of characteristic to find target user’s nearest k neighbor, then obtains the target user’s recommendation item based on the nearest neighbor’s recommendation content. The experimental results show that this algorithm can applicate in Web multi-cooperation platform effectively.

Key words: Web multi-cooperation platform, user characteristics extraction, personalized recommendation