YouTube is currently "testing these features with a limited number of video channels" and "aims to convert YouTube's rich video content into a large number of items that viewers can read, click on and buy directly," the report said. The company asked creators to tag projects in video with a new software that could be used for analysis and purchase.
A YouTube spokesman confirmed that the company is testing these features using a limited number of video channels. Creators will be able to control the products displayed, the spokesman said. The company described it as an experiment and declined to give further details.
The move is likely to transform YouTube from an advertising giant to a new competitor to e-commerce leader such as Amazon.com Inc. and Alibaba Group Holding Ltd.
Late last year, YouTube began testing similar Shopify integrations for creators who could list up to 12 items for sale in digital rotations below their videos. Shopify is a one-stop online store provider.
At present, there is no certainty as to when the "features" will be more widely promoted, and the final effect of YouTube's video strip is unknown, with Chinese video site BiliBili on the other side of the market starting online video shopping on July 8 this year.
B station UP master can do soft implant marketing through customized video, and then mount the product link. Users can purchase items related to the video when they watch the video, and click to jump to Taobao to buy.
In addition to video presentations, users can also see product links by clicking on up's main profile and feed.
(UP Master: Li Zixuan)
B station said that this is only to provide UP owners with a store platform, B station does not participate in the purchase, operation, transportation and other links, nor participate in any division. In other words, Station B provides "platform" and "tool" support similar to WeChat's combination of praise.
Unlike Station B, which does not charge any splits, YouTube has started offering subscriptions to creators and withdrawing a 30 per cent commission from these payments.
Image algorithm engineer
Audio AI algorithm engineer
Data algorithm development engineer
The technology of deep learning image field is combined with the theme of intelligent creation for innovative research.
Responsible for the research and development of CV algorithm/product prototype demo;
Optimize existing online algorithms, combine real business needs and data, develop efficient and reliable CV/AI solutions, and use CV/AI technologies, including but not limited to the following:
Detection, classification, identification, tracking, segmentation, generation (GAN), timing (RNN)
Track the latest developments in academia and industry and apply them quickly to your business;
Explore new special effects play, visual effects design;
Master's or Ph.D. in computer, image signal processing or related fields;
Excellent analytical and problem solving skills, passionate about solving challenging problems;
Master python / C / C ? programming, familiar with deep learning training frameworks such as pytorch, tensorflow, etc.
Strong scientific research capabilities are preferred, and high-quality papers have been published at top conferences in the field: (CVPR, ICCV, ECCV, NIPS, IJCV)
Have a certain ability to resist pressure, business thinking is preferred.
Detailed personal description and resume deliveryzhaopin@bilibili.com
The message title format is"Job Name - Real Name - From Main Station"
Audio AI algorithm engineer
Innovative research combining audio signal processing technology/AI technology with intelligent creative topics;
Responsible for the development of audio AI algorithm/product prototype demo;
Optimize existing online algorithms, combine real business needs and data, develop efficient and reliable audio AI solutions, and use technologies that include, but are not limited to, the following:
Audio signal processing, music taps, smart soundtracks, intelligent compositions, musical features, musical style/mood
Track the latest developments in academia and industry and apply them quickly to your business;
Explore new audio effects play, audio effects display;
Master's or Ph.D. in computer, image signal processing or related fields;
Excellent analytical and problem solving skills, passionate about solving challenging problems;
Master python / C / C ? programming, familiar with deep learning training frameworks such as pytorch, tensorflow, etc.
Strong scientific research capabilities are preferred, and high-quality papers have been published at top conferences in the field: ACMMM, ICMR, ICME, TASLP, JSLHR
Have a certain ability to resist pressure, business thinking is preferred.
Detailed personal description and resume deliveryzhaopin@bilibili.com
The message title format is"Job Name - Real Name - From Main Station"
Data algorithm development engineer
Engaged in content, social app design and research and development of many data products, such as information flow, topic performance evaluation, strategy optimization architecture, and content recommendations.
To evaluate the influence of policy rules on the recommended effect, combined with the badcase analysis, improve the recommended effect indicators.
Participate in continuous optimization and research of feature engineering, recalls, sort learning models, and algorithms to continuously enhance product experience and business value.
Take on the team's technical attack, data-driven thinking trail, with a certain technical direction with the ability to bring the team.
Job requirements:
Computer-related majors, 211 undergraduate and above degrees, have Internet-related work experience;
In-depth understanding of machine learning algorithms such as LR, GBDT, SVM, RL, DNN, CNN, RNN in some or all of them, there is a certain breadth;
With machine learning / natural language processing / data mining and other directions of the project background, the policy architecture has an in-depth understanding;
Love technology research and development, pay attention to data-driven, have good thinking logic and coding norms awareness;
Good communication skills, clear logic, independent analysis and problem-solving skills, a strong sense of responsibility and team spirit, can quickly and actively integrate into the team.
- Plus:
Familiar with big data processing, and good product sense
Familiarize yourself with common machine learning algorithms (logical regression, SVM, decision tree, Bayes, and various deep learning networks including CNN, RNN, LSTM, etc.)
Skilled in deep learning frameworks such as TensorFlow, Theano, Torch, Caffe, MXNet, etc
Detailed personal description and resume deliveryzhaopin@bilibili.com
The message title format is"Job Name - Real Name - From Main Station"
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