, /PRNewswire/ — MediaGo, the deep learning-based intelligent advertising platform, today announced a comprehensive upgrade of its deep learning models. With this upgrade, the models can now accurately assess traffic quality, enable smart bidding for ad placements, and provide accurate predictions at every stage of the marketing funnel, helping advertisers maximize their return on investment (ROI).
Using a deep neural network (DNN) with over one billion parameters, MediaGo is able to process more than 7 million ad requests per second, allowing it to evaluate advertising effects and formulate intelligent bidding strategies in real time.
In recent years, the advertising industry has been plagued by longstanding pain points such as high-volume low-quality traffic and difficulty in completing conversions. To address these common industry challenges, MediaGo has trained deep learning models specifically and introduced five major models that cover the entire marketing conversion chain:
Traffic value assessor:This model can accurately estimate the value of …