Big Data Recommender Systems

[China, Hong Kong, October 21, 2013], the world's leading information and communication solutions provider Huawei in Hong Kong's http://www.aliyun.com/zixun/aggregation/6816.html "> Noah's Ark Laboratory co-organized the seventh session of the International Conference on Referral Systems (ACM Analysys Conference on Recommender BAE 2013, Recsys 2013 ...

Although businesses are well aware that every customer has its own needs, each customer is a market segment. However, for each customer to subdivide, provide personalized service, for most businesses is not realistic, personalized service is only a few high-end customers exclusive. However, the emergence of a new generation of data analysis technologies, represented by large data, "one customer, one market" is becoming a reality on e-commerce websites. Some of these advanced technology E-commerce site is through this personalized service, to provide including competitive product recommendations, intimate shopping experience, enhance the site's customer transformation ...

Personalized recommendations are often misunderstood as the two concepts of market segmentation and precision marketing. Although there is some connection between them, they are far different in essence. This article not only clearly describes the personalized recommendation technology, but also lists the top ten challenges it faces. Many people know personal recommendation, there are many misunderstandings on the understanding. Some people think that personalized recommendation is the market segments and precision marketing, but in fact the market segments and precision marketing tend to be divided into potential users of many groups, which is compared with the statistics based on the overall compared to have made great strides, but Distance "tailor-made for each user ...

Now the network advertising, the development of space is still very large, because they put 99% of the money space are thrown away. With the development of large data, the money will be picked up by the next generation one by one. 　　At that time, people will know more clearly about the truth from precision to recommendation. Future advertising will be like this, advertising for different people, presenting different content. 　　By this precise measure, almost all advertising is now obsolete in the future. Precision is relative to the needs of consumers. Because it is not accurate, so consumers do not need. The accurate question is how to really dig out the consumer ...

"IT168 Information" December 3, 2012 news, the opening of the Beijing HBTC (Hadoop and large data technology assembly 2012, the original Hadoop in China) technology gathering, gathered a large number of scholars, business users and technology leaders. The Conference promotes the open source spirit angle, the union international and the domestic Hadoop and the Big Data application academic personage and the successful enterprise, examines the big data technology ecosystem's present situation and the development tendency through the technical application, revolves around the large processing, the information retrieval, the content excavation, from ...

Research on Knowledge Service recommendation system based on cloud computing the large double cloud computing platform in Henan Normal University provides a natural advantage for the recommendation system. First, the data storage in the cloud is clustered, the storage management is virtualized, theoretically provides the capacity-limited data storage ability and the efficient data throughput ability for the recommendation system, so the recommendation system can have the fast acquisition, the massive training data, and then, to provide the high quality recommendation result; The cloud's distributed computing power and physical resources virtualization to the recommendation system provide a high responsiveness, which helps to provide a large number of users with personality ...

Which of the following 5 languages are NODE, LUA, Python, Ruby, R, and which will be better applied in the 2014? I don't hesitate to choose R. 　　R is not only 2014, but also the protagonist for a longer period of time. 1. My programming background programmer, Architect, from the beginning of programming to today, has been convinced that Java is the language to change the world, Java has done, and has been very brilliant. But when the world of Java is becoming bigger and larger, when it becomes omnipotent, it is not professional enough for other languages to develop ...

Cloudera, a Hadoop publisher, did not cause much concern when it bought a london-based start-up company last year Myrrix, and Cloudera rarely promoted the company's technology in machine learning. 　　But Myrrix's technology and his founder Sean Owen's value and influence in machine learning are not to be underestimated. 　　Owen is currently developing an open source machine learning Project--oryx (Oryx, Cloudera also sells a product called Impala, Impala). Oryx's goal is to help ...

"Sir, I noticed you bought a beer, would you like some more diapers?" "If the supermarket cashier asks you this, will you want to K-man?" Even if you know the story about beer and diapers. In fact, the original story is that many men were found to buy diapers in Friday, so the supermarket put beer beside the diapers. So I just deliberately confused two details: diapers and beer are "one-way", the recommended way is "implicit" (put together) rather than "explicit" (oral recommendation). More importantly, it is targeted at a specific target audience (pecked men who are married and have children) ...