Introducing KarSein for Adaptive High-Order Feature Interaction Modeling in CTR Prediction

View the PDF file from the paper entitled Beyond Kan: Submit Karsein to the modeling of the interaction for high -ranking features in CTR predictions, by Yunxiao SHI and 4 other authors

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a summary:High -ranking feature moderation is very important to predict the click to appear (CTR), and traditional methods often make a maximum arrangement for interaction and dependence on the comprehensive census of features of features to this pre -arranged arrangement. This framework is highly dependent on the previous field to determine the scope of the reaction and requires high mathematical costs of the census. Traditional CTR models face a comparison between improving acting through highly arranged complex reactions and reducing mathematical efficiency associated with these processes. To address this double challenge, this study provides the effective effective interaction network of Kolmogorov-Arnold (Karsein). Inspired by the learning activation mechanism in the Kolmogorov-Arnold network (KAN), Karsein benefits from this mechanism to convert the basic low-arranged features in adapting to high-order feature reactions, providing a new approach to the modeling of the reaction. KARSEIN extends KAN capabilities by introducing a more efficient structure that greatly reduces mathematical costs with the absorption of two -dimensional tankers as feature inputs. Moreover, it overcomes reducing its inability to capture double relations automatically between the features.

Intensive experiences highlight the superiority of Karsein, indicating its ability to overcome vanilla for Kan only in CTR Predicio but also other foundation methods. It is striking that Karsein achieves an exceptional predictive accuracy while maintaining the size of the very compact parameter and the minimum general account expenditures. As a first attempt to apply KAN in clicking to appear, this work introduces Karsein as a new solution to the mixture of complex features interactions, confirming its transformational capabilities in promoting the mission of clicking bank to appear.