创新点
在线视频服务系统的激增蕴藏着巨大的商业利益。用户个人偏好,性别,年龄等信息对于个性化服务及广告推荐至关重要。针对在线视频系统中,用户行为数据的严重稀疏性及用户偏好的最大化保留问题,本文提出了一种新的基于同义词组的用户行为汇聚方法,并利用汇聚结果对用户进行了性别预测。与现有的方法相比,本文方法有效地降低了数据的稀疏性,极大地减少了用户偏好信息损失,并进一步提高了性别预测的准确性。
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Feng, T., Guo, Y. & Chen, Y. A novel user behavioral aggregation method based on synonym groups in online video systems. Sci. China Inf. Sci. 59, 1–3 (2016). https://doi.org/10.1007/s11432-015-5466-8
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DOI: https://doi.org/10.1007/s11432-015-5466-8