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基于协同过滤技术的电商品牌推荐系统实证研究 被引量:1

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摘要 进入移动互联网时代,网络购物成为大众消费的重要渠道。网购平台中有着为数众多的品牌商品,如何设计并进行有效的品牌推荐,对提高用户购买率及解决新品牌冷启动问题十分重要。本文根据历史购买数据来计算用户对各品牌的购买力分值,通过购买力分值和品牌画像结合的方式,利用混合协同过滤推荐算法,将购买力预测分值最高的品牌推荐给用户。根据实验结果,本文算法在准确性上的表现优于基础协同过滤算法。
作者 孟宪坤
出处 《现代商业》 2021年第26期10-12,共3页 Modern Business
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