JD.com, which holds big data, wants to further increase the value of data

Since the whole society entered the Internet era, the concept of big data has been gaining popularity. In the just-passed Double 11, whether it was our discovery and retrieval of products online, or the arrangement and recommendation of products by online stores, it can be said that they were all closely related to big data. Companies like JD.com, which carry large e-commerce websites, have become enterprises that hold Internet big data.

How does JD.com view big data? How will JD.com use big data?

On November 21, at the China Software Developers Conference held in Beijing, Zou Yu, senior director of JD.com's personalization and ranking platform department, and Liu Sizhe, director of JD.com's search and recommendation department, gave further interpretations of big data.

The value of data lies in its connotation and extension

The foundation of big data is data collection. Internet or mobile Internet companies have great advantages in data collection. Through the back-end, they can record user interaction behaviors, including how users visit the website and how they use the APP. The final amount of data can even reach hundreds of millions.

Zou Yu believes that the value of data will become increasingly greater. Now, everything from product design to the color of some pages can be measured with data. Taking website page design as an example, things that previously relied on art and design decisions can slowly become so-called data-driven in the future.

Liu Sizhe feels that JD’s data may not only be in JD.com, but any enterprise or social environment should pay attention to the connotation and extension of data, use the existing data to describe all the problems under the current business structure, and use these data to infer the future behavior of new and old users, infer what users will do, and provide better services to consumers.

Algorithm optimization is a gradual iterative process

The usable value of big data does exist, but how to link this existing value with product and commodity transactions and the corresponding algorithm technology are equally crucial. The optimization of the algorithm is also a gradual iterative process.

Liu Sizhe revealed that in the process of optimization, many clues will actually appear, and what needs to be done technically is to find the most effective way among these many clues to improve the online effect.

In addition, he also believes that the current data is actually an island, and many companies cannot connect all the data in a complete manner on a unified platform. This is still a big or difficult problem. At the same time, he said that algorithm optimization is a gradual iterative process, and more inspiration is needed. To expand on this, it is necessary to communicate with peers when appropriate, or to look for inspiration by reading some of the things that predecessors have accumulated, so as to achieve a better effect in algorithm optimization.

Big data is not just about products for JD.com

There is no doubt that for JD.com, whose main business is e-commerce, big data is most directly reflected in projects directly related to products, including product search and recommendations. However, in the future, big data may have more uses for JD.com.

According to Zou Yu, although the search level is currently concentrated on product search to store search, the scale of JD.com's third-party platform is now getting bigger and bigger. The same product may be sold in different stores, so sometimes the store's credibility and popularity, and brand-related big data are also very important.

Liu Sizhe also told that in the future, brand personalization and store personalization will be closely related to big data. In the use of big data and means such as search and recommendation, the focus is now mainly on promoting objects and products online. In the future, it is not ruled out that it will be possible to promote people in the opposite direction and achieve the so-called targeted precision marketing, so that JD.com can promote new technology usage scenarios in the big data era.

As a winner of Toutiao's Qingyun Plan and Baijiahao's Bai+ Plan, the 2019 Baidu Digital Author of the Year, the Baijiahao's Most Popular Author in the Technology Field, the 2019 Sogou Technology and Culture Author, and the 2021 Baijiahao Quarterly Influential Creator, he has won many awards, including the 2013 Sohu Best Industry Media Person, the 2015 China New Media Entrepreneurship Competition Beijing Third Place, the 2015 Guangmang Experience Award, the 2015 China New Media Entrepreneurship Competition Finals Third Place, and the 2018 Baidu Dynamic Annual Powerful Celebrity.