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1、G: Good morning, Jingdong Corp. Can I help you?N: Hello, Id like to speak to h, please.G: May I ask who is calling, please?N: My name is n of Tianjin University. Last time, we talk about the project about the big data applied to electroniccommerce. When would it be convenient for you to come? We can
2、 discuss the details.G: Oh, wait for a second. I will check our schedule. Well, how about this afternoon? N: Ok.H: OK, everyone. Lets get the ball rolling. Come and sit down. We will start the meeting. Firstof all, a few wordsonour companyJingdong shopping mall. It is one of the largest e-business e
3、nterprises in China. And the products are in many species, nearly all of which can meet us in our daily lives, such as computers, mobile phones and other digital products, home appliances, clothing and so on. G: With the rapid development of economy and the increased numbers of client, the competiti
4、on between electronic supplier is fiercer than before. We expect that our company can realize the maximization of the interests through cooperating with yourlaboratory. I hope you can talk about your opinions.L: Recent years, big data has applied into a lot of E-commerce. We believe that it will be
5、very helpful for your request. Actually, our lab are doing some research about big data recently.H:Can you tell the detail about the technique of big data?N: Big data have four attributes. They are volume, variety, velocity and value. First, the data volume is huge. From the level of TB, jumped to P
6、B level. Second, it has various data types, including web log, video, picture, location, and so on. Third, it needs fast processing speed. We would quickly obtain high value from various types of data information. Fourth, as long as use data reasonably and focus on the correct and accurate analysis,
7、 we will obtain a high value in return.H: I heard of big data, but always thought it was the amount of data is huge. Our company also did some projects relatedto huge data processing.L: Just like he said. Big data is not just about its quantity. The more significant thing is its value hide behind th
8、e big data. And our target is using computer technology to do some data mining and find what is valuable.G: Our company has accumulated a lot of information, such as data about the commodities and the purchasingbehavior. However, we merely made some statementanalyses and sales rankingbased on these
9、data, which may ignore some other important details.H：Listened to your discussion, I think the data that we own is not only in great numbers, but also has very big potential. Do you have any idea?N：Do you know the story of beer and diaper? Through the statistics and analysis of the consumption data,
10、 some scholars found that the man who bought beer will buy diaper in general. Because American women who take care of baby at home, will ask their husband to buy diaper on the way home. Their husband may buy some bottles of beer when they buy diaper. As a result, some stores put beer and diaper in o
11、ne place in order to get better sales. H：Does this mean that we can find some commodity combinations from the data to recommend to the user, thus increasing their purchases.L: Actually, we can do more on these data. In the area of data mining, there is a special algorithm named collaborative filteri
12、ng. It concerned about peoples action on buying, collecting and viewing on goods, which can find the similarity between different people. So we can recommend particular goods to particular person.H：Ithinkits abrilliantidea.G: That sounds really good. But I think it seems a little difficult to achiev
13、e this goal. Wehave triedtorecommend the commoditieswhich the customersmay be interested in. Unfortunately, the amounts of economic investment didnt obtain the corresponding results. So I wonder whether your lab has done any similar issues before?N：We used to make e-commerce recommender system for s
14、ome small and medium-sized enterprises. Their economic benefits are improved sharply.H：But in your project, the amount of data is small, isnt it?L: You are right. But in the developing of that recommend system, we also concerned about a lot of problem, and big data is under our consideration.G: Do y
15、ou mean that you have already implemented an excellent system that can meet our requirements perfectly?N：Not like that, this recommendation systems used in different areas need to do some adjust.L: Whats more, with the growing of our technology, we can promote such system in more ways. I believe tha
16、t it can bring more benefit to your company.H：Very well. Until now the topic we talk about is just for analyzing buying behaviors. Considering that in 2013, our companys active users had reached 47.4 million. So we can really do something on this point. Now we just classify these users from the point of the purchase amount. We should consider this from more view points, w
