Oct 21, 2023 · We propose SUIN, a novel CTR model that integrates satisfaction factors into user interest modeling for enhanced click-through rate prediction.
The finite-time synchronization (FTS) of the prediction of the synchronization time and energy consumption is discussed for multilayer fractional-order networks ...
Aug 4, 2024 · We propose a novel method – Deep Evolutional Instant Interest Network (DEI2N), for click-through rate prediction in TIR scenarios.
Oct 22, 2024 · Satisfaction-Aware User Interest Network for Click-Through Rate Prediction. Conference Paper. Oct 2023. Mao Pan · Wen Shi · Kun Zhou · Sulong Xu.
Satisfaction-Aware User Interest Network for Click-Through Rate Prediction ... Deep Situation-Aware Interaction Network for Click-Through Rate Prediction.
In online advertising systems, CTR (Click-Through Rate) prediction is an essential task that aims to predict the probability of a user clicking on a target item ...
In this paper, we propose a novel method named DemiNet which models the multiple user interests in CTR prediction tasks explicitly. To alleviate the noisy ...
People also ask
What is the click-through rate prediction?
What is the click-through rate in recommender system?
This paper proposes a novel recommendation method named Deep Interest Highlight Network (DIHN) for Click-Through Rate (CTR) prediction in TIR scenarios.
Click-through rate prediction is the task of predicting the likelihood that something on a website (such as an advertisement) will be clicked.
[2022][Alibaba][DIAN] Deep Intention-Aware Network for Click-Through Rate Prediction ... Interest Highlight Network for Click-Through Rate Prediction in Trigger- ...