OLX Jobs Interactions Dataset

OLX Jobs Interactions Dataset是由亚当密茨凯维奇大学等机构创建的，包含2020年两周内3,295,942用户与185,395个职位广告互动的65,502,201条事件数据。数据集内容丰富，包括用户点击、收藏、聊天等多种互动行为，数据稀疏性高，适用于研究推荐系统在分类广告领域的应用。该数据集已公开在Kaggle平台上，旨在通过大规模数据分析，提高职位广告的转化率和用户满意度，解决在线分类广告中的推荐问题。

OLX Jobs Interactions Dataset was developed by Adam Mickiewicz University and other institutions. It contains 65,502,201 event records of interactions between 3,295,942 users and 185,395 job advertisements over a two-week period in 2020. The dataset covers diverse interaction behaviors including user clicks, favorites, chats and more, and features high data sparsity, making it suitable for researching the application of recommendation systems in the classified advertising domain. This dataset has been publicly released on the Kaggle platform, aiming to improve the conversion rate of job advertisements and user satisfaction via large-scale data analysis, and solve recommendation issues in online classified advertising.