摘要
为了有效地辨别出不真实的评价,在大数据的背景下,从无效评价过滤、优化"好评"比例和提取购物评价信息3个途径入手,构建合理的商家信用体系,能够为消费者选择商品提供参考。
In order to identify the true evaluation effectively, under the background of big data, from the three ways of invalid evaluation of filter, optimization the praise ratio anti extraction shopping evaluation information, a reasonable business credit system were built to provide a reference for the consumer choice goods.
出处
《互联网天地》
2015年第9期73-76,共4页
China Internet
关键词
电子商务
大数据
网购评价
e-commerce, big data, online shopping evaluation
