Learning from a Learning User for Optimal Recommendations

Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu

Abstract: In real-world recommendation problems, especially those with a formidably large item space, users have to gradually learn to estimate the utility of any fresh recommendations from their experience ...