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Mar, 2016
基于级联赌博机的大规模推荐问题
Cascading Bandits for Large-Scale Recommendation Problems
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Shi Zong, Hao Ni, Kenny Sung, Nan Rosemary Ke, Zheng Wen...
TL;DR
本研究提出了两种基于线性推广的算法来解决级联赌博问题,主要应用在推荐系统中。通过对算法的评估,发现本文算法表现较为良好,且优于所有基准算法。
Abstract
Most
recommender systems
recommend a list of items. The user examines the list, from the first item to the last, and often chooses the first attractive item and does not examine the rest. This type of user behavior can be modeled by the
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