计算机科学 ›› 2014, Vol. 41 ›› Issue (Z11): 320-322.
张莉,薛羽青
ZHANG Li and XUE Yu-qing
摘要: 作为解决信息超载问题的有效方式,协同过滤技术已被成功地应用到推荐系统。为进一步提高协同过滤算法的性能,首先利用用户评分的历史信息,估计用户的判断力。接着结合用户间的相似性,提出一种改进的协同推荐算法。实验结果表明用户的判断力可与用户的推荐能力正相关,也验证了用户判断力深入抽取用户评分信息以及影响用户 采纳某项推荐结果的因素,以更好地刻画用户之间的相似性,从而提高算法的推荐准确度。
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