计算机科学 ›› 2017, Vol. 44 ›› Issue (11): 125-133.doi: 10.11896/j.issn.1002-137X.2017.11.020
陈浩,陶传奇,文万志
CHEN Hao, TAO Chuan-qi and WEN Wan-zhi
摘要: 随着大数据的迅速发展,大数据应用层出不穷,诸如网购零售平台、人脸识别系统、智能决策系统、自助客服、看病导医系统等典型的大数据应用使得人们的生活越发便捷。搜索系统是人们最常使用的大数据应用之一。然而,搜索系统在不同平台上的功能各有侧重,其标准尚且不完善,搜索的质量参次不齐,无法得到保障。 与普通的文本搜索引擎相比,网购平台的搜索引擎增加了分类检索、筛选等特色功能,其质量的评价与保障更为复杂。通过对网络零售平台的搜索功能进行研究,针对网购平台搜索功能的质量评价提出了质量参考因素,针对质量因素提出了若干评价指标以及相应的实现算法,并通过实验来论证了质量指标的有效性。
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