品牌内容发现(二)Learning Visual Elements of Images for Discovery of Brand Posts
背景 之前讲到过，品牌内容发现(content discovery for brands)这一问题被定性为基于内容的排序学习问题。 这种利用品牌的历史post来学习其与品牌的相关性从而对新的post进行排名的任务，主要难点有三： （1）品牌之间的相似性问题。多个品牌可能使用相同的品牌联想内容，导致本品牌的post与竞争对手使用的post仅有细微差别，难以区分 （2）brand-post之间的稀疏性
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相关文章
- 1. 品牌内容发现(二)Learning Subjective Attributes of Images from Auxiliary Sources
- 2. On the burstiness of visual elements
- 3. 读The Elements of Statistical learning
- 4. A Simple Framework for Contrastive Learning of Visual Representations
- 5. Learning like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images
- 6. Deep Clustering for Unspervised Learning of Visual Features
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- 9. 2017CVPRSelf-Supervised Learning of Visual Features Through Embedding Images Into Text Topic Spaces
- 10. Vulnerability Extrapolation: Assisted Discovery of Vulnerabilities using Machine Learning