基于商品属性与用户聚类的个性化服装推荐研究

Investigation on Etiology of Goat Abortion in Guizhou

淘宝网作为电子商务时代最大的网上零售平台,为用户提供越来越多的商品与服务的同时,也出现了信息过载等一系列问题。鉴于此,本文提出了基于商品属性与用户聚类的个性化服装推荐方法,通过用户个人信息与对商品的评价,计算用户之间的相似度,进行聚类分析。与此同时,将商品化整为零,通过商品属性来计算商品的相似度,得到top-N相似列表。以此,综合商品与用户两者的权重值,实现为用户提供个性化的商品推荐,解决用户面对信息过载的难题,为用户节省精力,提高用户的购物体验。针对某一淘宝网店铺,本文提出了适合的混合推荐算法,并通过搜集实际数据进行了实证研究,对推荐结果进行准确性评价。

The bacteria types, antibodies and parasites of 53 tissue samples, 514 serum samples and 215 fecal samples collected from 65 goat farms of Zunyi City, Bijie City, Tongren City, Qianxinan Prefecture and Qiandongnan Prefacture during May, 2013 and October, 2014 were identified, detected and determined respectively to find out the infectious factors causing abortion of goats in Guizhou. The isolation rate of Escherichia Coli,Staphylococcus, Pasteurella and Salmonella is 30.5%, 25.8%, 7. 3% and 2.6% respectively. Results. The positive rate of BTV-Ab, Chlamydia-Ab, GTPV-Ab, Mycoplasma Mycoides-Ab and TOXO-Ab detected from serum samples is 17.0%, 6. 6%, 6. 7%, 2. 4% and 1. 3% separately. The appropriate measures should be used to effectively control occurrence and prevalence of goat abortion because of many infectious factors to cause goat abortion in Guizhou.