From http://www.csdn.net/article/2015-12-17/2826501
《新浪微博算法技术总监姜贵彬:大数据驱动下的微博社会化推荐》
新浪微博算法技术总监姜贵彬发表题为《大数据驱动下的微博社会化推荐》的演讲。他主要从以下几个方面进行了分享:推荐的角色与定位、大数据与推荐的关系、数据驱动下的微博推荐、商业推荐。他认为推荐扮演了加速器和调控器的角色。加速器是指加速优质信息传播、加速高价值关系构建、加速用户成长。调控器是指优化用户关系网络结构、调控和引爆信息的定向传播。
Can data virtualization uphold performance with complex queries? (Chinese)Denodo
Watch full webinar here: https://bit.ly/3fQFUEY
There are myths about data virtualization that are based on misconceptions and even falsehoods. These myths can confuse and worry people who - quite rightly - look at data virtualization as a critical technology for a modern, agile data architecture.
We've decided that we need to set the record straight, so we put together this webinar series. It's time to bust a few myths!
In the first webinar of the series, we’ll be busting the 'performance' myth. “What about performance?” is usually the first question that we get when talking to people about data virtualization. After all, the data virtualization layer sits between you and your data, so how does this affect the performance of your queries? Sometimes the myth is perpetuated by people with alternative solutions…the ‘Put all your data in our Cloud and everything will be fine. Data virtualization? Nah, you don’t need that! It can't handle big queries anyway,’ type of thing.
Register this webinar as we explore the basis of the 'performance' myth and examine whether there is any underlying truth to it.