Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The overall visual attributes (e.g., aesthetics) of b pages significantly influence user experience. A beautiful and ll laid out b page greatly facilitates user access and enhances the browsing experience. , a new method is proposed to learn an assessment model for the (visual) aesthetics of b pages. First, multimodal features (structural, local visual, global visual, and functional) of a b page that are known to significantly affect the aesthetics of a b page are extracted to construct a feature vector. Second, the interuser disagreement of aesthetics is analyzed and novel aesthetic representations are obtained from the multiuser ratings of a page. A structural learning algorithm is proposed for the new aesthetic representations. Third, as a b page's functional purpose also affects the perceived aesthetics,  divide b pages into different types using functional features, and a soft multitask fusion learning strategy is introduced to train assessment models for pages with functional purposes. Experimental results show the effectiveness of our method: 1) the combination of structural, local, and global visual features outperforms existing state-of-the-art b aesthetic features; 2) the proposed structural learning algorithm achieves good results for the new aesthetic representations; and 3) the proposed soft multitask fusion learning strategy improves the performances of aesthetics assessment models.
['Ou Wu', 'Haiqiang Zuo', 'Weiming Hu', 'Bing Li']
I am writing a research paper on a idea Multimodal Web Aesthetics Assessment Based on Structural SVM and Multitask Fusion Learning
[{"from": "human", "value": "I am writing a research paper on a idea Multimodal Web Aesthetics Assessment Based on Structural SVM and Multitask Fusion Learning"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The overall visual attributes (e.g., aesthetics) of b pages significantly influence user experience. A beautiful and ll laid out b page greatly facilitates user access and enhances the browsing experience. , a new method is proposed to learn an assessment model for the (visual) aesthetics of b pages. First, multimodal features (structural, local visual, global visual, and functional) of a b page that are known to significantly affect the aesthetics of a b page are extracted to construct a feature vector. Second, the interuser disagreement of aesthetics is analyzed and novel aesthetic representations are obtained from the multiuser ratings of a page. A structural learning algorithm is proposed for the new aesthetic representations. Third, as a b page's functional purpose also affects the perceived aesthetics,  divide b pages into different types using functional features, and a soft multitask fusion learning strategy is introduced to train assessment models for pages with functional purposes. Experimental results show the effectiveness of our method: 1) the combination of structural, local, and global visual features outperforms existing state-of-the-art b aesthetic features; 2) the proposed structural learning algorithm achieves good results for the new aesthetic representations; and 3) the proposed soft multitask fusion learning strategy improves the performances of aesthetics assessment models."}]