为十亿条个性化新闻提供服务Serving a Billion Personalized News Feeds |
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课程网址: | https://videolectures.net/videos/kdd2016_backstrom_news_feeds |
主讲教师: | Lars Backstrom |
开课单位: | KDD 2016研讨会 |
开课时间: | 2016-10-12 |
课程语种: | 英语 |
中文简介: | Feed排名的目标是为人们提供超过十亿的个性化体验。我们努力为每个人提供最具吸引力的内容,为他们量身定制,以便他们最有可能看到他们最感兴趣的内容。与报纸类似,将正确的故事放在封面上方对于吸引客户并让他们在报纸的其他部分感兴趣一直至关重要。在饲料排名中,我们面临着类似的挑战,但规模更大。每次有人访问时,我们都需要从所有可用的故事中找到最好的内容,并将其放在人们最有可能看到的提要的顶部。为了实现这一点,我们进行了大规模的机器学习,对每个人进行建模,找出他们关心的朋友、页面和主题,并选择每个人感兴趣的故事。除了我们正在研究的大规模机器学习问题外,另一个主要的研究领域是了解我们为人们创造的价值,并确保我们的目标函数与人们想要的相一致。 |
课程简介: | Feed ranking's goal is to provide people with over a billion personalized experiences. We strive to provide the most compelling content to each person, personalized to them so that they are most likely to see the content that is most interesting to them. Similar to a newspaper, putting the right stories above the fold has always been critical to engaging customers and interesting them in the rest of the paper. In feed ranking, we face a similar challenge, but on a grander scale. Each time a person visits, we need to find the best piece of content out of all the available stories and put it at the top of feed where people are most likely to see it. To accomplish this, we do large-scale machine learning to model each person, figure out which friends, pages and topics they care about and pick the stories each particular person is interested in. In addition to the large-scale machine learning problems we work on, another primary area of research is understanding the value we are creating for people and making sure that our objective function is in alignment with what people want. |
关 键 词: | 机器学习; 个性化新闻; 目标函数 |
课程来源: | 视频讲座网 |
数据采集: | 2025-01-07:liyq |
最后编审: | 2025-01-07:liyq |
阅读次数: | 9 |