<Returning is Believing: Optimizing Long-term User Engagement in Recommender Systems>
3.方法
我们提出了从顺序决策最优化的角度,在推荐中改进long-term user engagement。
<Returning is Believing: Optimizing Long-term User Engagement in Recommender Systems>
我们提出了从顺序决策最优化的角度,在推荐中改进long-term user engagement。
Netflix团队发了篇paper《Is Cosine-Similarity of Embeddings Really About Similarity?》,对cosine相似度做了相应的研究。# 摘要余弦相似度(cosine similarity)是指两个向量间夹角的余弦...… Continue reading