AL-GR/Item-EMB

AL-GR Item Embeddings是一个包含超过5亿个项目的512维多模态嵌入的数据集，用于特征提取和图像特征提取任务。每个项目通过一个唯一的base62字符串ID和对应的向量嵌入来表示。该数据集可用于初始化传统或多模态推荐模型中的项目嵌入层，分析项目语义空间，以及将抽象语义ID链接到它们的向量表示。

AL-GR Item Embeddings is a dataset containing 512-dimensional multi-modal embeddings for over 500 million items, used for feature extraction and image feature extraction tasks. Each item is represented by a unique base62_string ID and its corresponding vector embedding. This dataset can be used to initialize item embedding layers in traditional or multi-modal recommendation models, analyze the semantic space of items, and link abstract semantic IDs to their vector representations.