数字广告向量数据

依托开发者服务积累海量APP数据，利用深度学习模型，将个推大数据脱敏压缩生产脱敏后的稠密向量，助力互联网客户提升算法模型效果 推荐系统：通过比较用户向量之间的相似度，可以实现个性化推荐。根据用户的历史行为、兴趣爱好等特征，为用户推送更符合其喜好的内容、商品或服务。 广告投放：基于用户行为向量，广告商可以精准定位目标受众，针对性地投放广告，从而提高广告效果和转化率。This dataset leverages massive APP data accumulated via developer services, adopts deep learning models to process GeTui big data through desensitization and compression to generate desensitized dense vectors, and helps internet customers improve the performance of their algorithmic models. Recommendation Systems: Personalized recommendations can be achieved by comparing the similarity between user vectors. Based on features such as users' historical behaviors and interests, the system pushes content, products or services that better match their preferences to users. Advertising Targeting: Based on user behavior vectors, advertisers can accurately locate target audiences and deliver targeted advertisements, thereby enhancing advertising effectiveness and conversion rates.

搜集汇总

背景与挑战

背景概述

数字广告向量数据集由每日互动股份有限公司提供，包含15亿条数据，每周更新，适用于AI、金融、商业等领域，主要用于推荐系统和广告投放。