Oct 21, 2023 · We propose SUIN, a novel CTR model that integrates satisfaction factors into user interest modeling for enhanced click-through rate prediction.
People also ask
What is the click through rate prediction?
This paper proposes SDIM (Sampling-based Deep Interest Modeling), a simple yet effective sampling-based end-to-end approach for modeling long-term user ...
Aug 4, 2024 · Specifically, we introduce a User Instant Interest Modeling Layer to predict the dynamic change in the intensity of instant interest when the ...
Jul 17, 2024 · In this paper, we propose a Decision-Making Context Interaction Network (DCIN), which deploys a carefully designed Context Interaction Unit (CIU) ...
Aug 11, 2023 · A novel model named Deep Context Interest Network (DCIN), which integrally models the click and its display context to learn users' context-aware interests.
This paper proposes a novel recommendation method named Deep Interest Highlight Network (DIHN) for Click-Through Rate (CTR) prediction in TIR scenarios.
Satisfaction-Aware User Interest Network for Click-Through Rate Prediction. Conference Paper. Oct 2023. Wen Shi · Mao Pan · Kun Zhou · Sulong Xu · View · IUI: ...
Click-through rate prediction is the task of predicting the likelihood that something on a website (such as an advertisement) will be clicked.
This repository provides a curated list of papers and tutorials about Recommender Systems (RS) including systematic tutorials, comprehensive surveys, general ...
There are two key modules in DIEN, one is for extracting latent temporal interests from explicit user behaviors, and the other one is for modeling interest.