Click-Through Rate Prediction Combining Mutual Information Feature Weighting and Feature Interaction
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3034630
Abstract: Click-through rate (CTR) prediction is an important issue in online advertising and recommendation systems. It is used to estimate the likelihood that a user will click on ads. The method used in the traditional CTR… read more here.
Keywords: mutual information; feature; feature interaction; prediction ... See more keywords
Hyperspectral and Multispectral Classification for Coastal Wetland Using Depthwise Feature Interaction Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3097093
Abstract: The monitoring of coastal wetlands is of great importance to the protection of marine and terrestrial ecosystems. However, due to the complex environment, severe vegetation mixture, and difficulty of access, it is impossible to accurately… read more here.
Keywords: feature interaction; wetland; classification; feature ... See more keywords
High-Resolution Remote Sensing Bitemporal Image Change Detection Based on Feature Interaction and Multitask Learning
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3275140
Abstract: With the development of remote sensing technology, high-resolution (HR) remote sensing optical images have gradually become the main source of change detection data. Albeit, the change detection for HR remote sensing images still faces challenges:… read more here.
Keywords: change detection; feature interaction; detection; remote sensing ... See more keywords
Feature Interaction Augmented Sparse Learning for Fast Kinect Motion Detection
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DOI: 10.1109/tip.2017.2708506
Abstract: The Kinect sensing devices have been widely used in current Human-Computer Interaction entertainment. A fundamental issue involved is to detect users’ motions accurately and quickly. In this paper, we tackle it by proposing a linear… read more here.
Keywords: motion detection; feature interaction; interaction;
HDGFI: Hierarchical Dual-Level Graph Feature Interaction Model for Personalized Recommendation
Sign Up to like & getrecommendations! Published in 2022 at "Entropy"
DOI: 10.3390/e24121799
Abstract: Under the background of information overload, the recommendation system has attracted wide attention as one of the most important means for this problem. Feature interaction considers not only the impact of each feature but also… read more here.
Keywords: interaction; feature interaction; recommendation; hierarchical dual ... See more keywords