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基于天猫商城的推荐系统应用研究

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摘要 随着网上购物在我国爆发式的发展,电子商务网站利用推荐系统向潜在购买用户提供针对性的购买建议。根据用户历史操作记录与商品历史被操作记录,使用适合的算法进行特征分类,取得用户行为特征和商品特性,从而进行针对性的推荐,提高推荐准确率与提升推荐商品的全面性,从而使推荐系统发挥最大的效益,使消费者购物成功率提高、满意度提升,使商家销售量提高、宣传成本降低。
作者 杨凯 王瑾
出处 《科技风》 2014年第19期94-95,共2页
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