Question

[英语高手进]高分求翻译。不要用工具！

诚心求教！没诚心或者能力的请飘过。
这是我毕设论文的摘要，求高手给我翻译一下吧，我的原则是不用字字翻译，只要大体意思相近就行。甚至可以跳过一句不翻译，也可以自己加上一句。
★强调：不要直接复制翻译工具或者在线翻译的结果，这些我也会。但是你可以借助工具。
谢谢，谢谢！

内容如下：

网络的高效与便捷，使人们从传统的购物方式逐渐转向网络购物方式。随电子商务的迅猛发展，电子商务推荐系统应运而生了。电子商务推荐系统能有效的留住客户，提高电子商务企业的销售和竞争力，已经成为电子商务IT技术的一个重要研究内容，得到众多研究者的关注。
本文较详细地论述了电子商务推荐系统的产生、种类及系统模型，并结合服装电子商务论述了电子商务推荐系统的应用。电子商务推荐系统的概念虽然直到90年代才被提出来，但随着电子商务的发展，推荐系统的研究取得了很大的成效，并开始越来越多的应用到了电子商务系统中。其中非常著名的应用就是Amazon的推荐系统。当今电子商务推荐系统的研究技术主要是内容过滤、协同过滤和数据挖掘技术，而基于知识的推荐技术成为了新的研究热点。
随后介绍了电子商务推荐系统的推荐算法，并侧重介绍了关联规则算法和Apriori算法。 Apriori算法是关联规则的经典算法，是目前频繁集发现算法的核心。后来的研究者还提出了很多Apriori的改进算法和基于Apriori的算法。
本文最后使用Eclipse + MySQL环境实现了Apriori算法，并提出了在服装电子商务中的简单应用模型，对服装电子商务系统建立个性化的适时推荐系统来说具有一定现实意义。

Answer 1

Efficient and convenient network of people from the traditional way of gradually shift to the way online shopping. With the rapid development of e-commerce, e-commerce recommendation system has emerged. E-commerce recommendation system can effectively retain customers, e-commerce businesses to improve sales and competitiveness, e-commerce has become an important IT technology research has been the concern of many researchers.
This article discusses in detail the emergence of e-commerce recommendation system, types, and system model, and discusses the combination of apparel e-commerce e-commerce recommendation system. The concept of e-commerce system, although the recommended until age 90 was put forward, but with the development of e-commerce, recommender system research has been a great success, and began to apply more and more e-commerce system. One well-known application is Amazon's recommendation system. Recommendation System in today's e-commerce technology mainly to the study of content filtering, collaborative filtering and data mining technology, and knowledge-based recommendation technology to become a new hotspot.
Then introduced the recommendation of e-commerce recommendation system algorithm, and focusing on the association rules algorithm and the Apriori algorithm. Apriori association rules algorithm is the classical algorithm, is the frequent itemsets found in the core algorithm. Later, the researchers also made a lot of the improved algorithm Apriori and Apriori-based algorithms.
Finally, the use of Eclipse + MySQL environment for the realization of the Apriori algorithm, and the clothing e-commerce applications in a simple model system for the clothing e-commerce timely personalized recommendation system has a certain practical significance.
Efficient and convenient network of people from the traditional way of gradually shift to the way online shopping. With the rapid development of e-commerce, e-commerce recommendation system has emerged. E-commerce recommendation system can effectively retain customers, e-commerce businesses to improve sales and competitiveness, e-commerce has become an important IT technology research has been the concern of many researchers.
This article discusses in detail the emergence of e-commerce recommendation system, types, and system model, and discusses the combination of apparel e-commerce e-commerce recommendation system. The concept of e-commerce system, although the recommended until age 90 was put forward, but with the development of e-commerce, recommender system research has been a great success, and began to apply more and more e-commerce system. One well-known application is Amazon's recommendation system. Recommendation System in today's e-commerce technology mainly to the study of content filtering, collaborative filtering and data mining technology, and knowledge-based recommendation technology to become a new hotspot.
Then introduced the recommendation of e-commerce recommendation system algorithm, and focusing on the association rules algorithm and the Apriori algorithm. Apriori association rules algorithm is the classical algorithm, is the frequent itemsets found in the core algorithm. Later, the researchers also made a lot of the improved algorithm Apriori and Apriori-based algorithms.
Finally, the use of Eclipse + MySQL environment for the realization of the Apriori algorithm, and the clothing e-commerce applications in a simple model system for the clothing e-commerce timely personalized recommendation system has a certain practical significance.

Answer 2

Efficient and convenient network of people from the traditional way of gradually shift to the way online shopping. With the rapid development of e-commerce, e-commerce recommendation system has emerged. E-commerce recommendation system can effectively retain customers, e-commerce businesses to improve sales and competitiveness, e-commerce has become an important IT technology research has been the concern of many researchers.
This article discusses in detail the emergence of e-commerce recommendation system, types, and system model, and discusses the combination of apparel e-commerce e-commerce recommendation system. The concept of e-commerce system, although the recommended until age 90 was put forward, but with the development of e-commerce, recommender system research has been a great success, and began to apply more and more e-commerce system. One well-known application is Amazon's recommendation system. Recommendation System in today's e-commerce technology mainly to the study of content filtering, collaborative filtering and data mining technology, and knowledge-based recommendation technology to become a new hotspot.
Then introduced the recommendation of e-commerce recommendation system algorithm, and focusing on the association rules algorithm and the Apriori algorithm. Apriori association rules algorithm is the classical algorithm, is the frequent itemsets found in the core algorithm. Later, the researchers also made a lot of the improved algorithm Apriori and Apriori-based algorithms.
Finally, the use of Eclipse + MySQL environment for the realization of the Apriori algorithm, and the clothing e-commerce applications in a simple model system for the clothing e-commerce timely personalized recommendation system has a certain practical significance.

不给分不活了

Answer 3

Efficient and convenient network of people from the traditional way of gradually shift to the way online shopping. With the rapid development of e-commerce, e-commerce recommendation system has emerged. E-commerce recommendation system can effectively retain customers, e-commerce businesses to improve sales and competitiveness, e-commerce has become an important IT technology research has been the concern of many researchers.
This article discusses in detail the emergence of e-commerce recommendation system, types, and system model, and discusses the combination of apparel e-commerce e-commerce recommendation system. The concept of e-commerce system, although the recommended until age 90 was put forward, but with the development of e-commerce, recommender system research has been a great success, and began to apply more and more e-commerce system. One well-known application is Amazon's recommendation system. Recommendation System in today's e-commerce technology mainly to the study of content filtering, collaborative filtering and data mining technology, and knowledge-based recommendation technology to become a new hotspot.
Then introduced the recommendation of e-commerce recommendation system algorithm, and focusing on the association rules algorithm and the Apriori algorithm. Apriori association rules algorithm is the classical algorithm, is the frequent itemsets found in the core algorithm. Later, the researchers also made a lot of the improved algorithm Apriori and Apriori-based algorithms.
Finally, the use of Eclipse + MySQL environment for the realization of the Apriori algorithm, and the clothing e-commerce applications in a simple model system for the clothing e-commerce timely personalized recommendation system has a certain practical significance.

Answer 4

我是不会