论文标题
用于用户界面实验的机会主义匪徒方法
An Opportunistic Bandit Approach for User Interface Experimentation
论文作者
论文摘要
面对在线竞争对手不断增长的竞争，零售业越来越多地投资于其在线购物平台，以赢得高风险的客户忠诚之战。用户体验在这项比赛中起着重要的作用，零售商正在不断尝试和优化其用户界面以获得更好的用户体验。实验成本由向客户提供次优服务的机会成本主导。通过本文，我们演示了机会主义匪徒的有效性，可以使用实际的在线零售数据使实验尽可能廉价。实际上，我们将用户界面实验建模为机会性强盗问题，其中勘探成本在从客户功能中提取的因素下而变化。我们通过减轻昂贵的探索并提供有助于指导测试过程的额外上下文信息来减少遗憾。此外，我们分析了使用机会主义匪徒进行在线零售实验的优势和挑战。
Facing growing competition from online rivals, the retail industry is increasingly investing in their online shopping platforms to win the high-stake battle of customer' loyalty. User experience is playing an essential role in this competition, and retailers are continuously experimenting and optimizing their user interface for better user experience. The cost of experimentation is dominated by the opportunity cost of providing a suboptimal service to the customers. Through this paper, we demonstrate the effectiveness of opportunistic bandits to make the experiments as inexpensive as possible using real online retail data. In fact, we model user interface experimentation as an opportunistic bandit problem, in which the cost of exploration varies under a factor extracted from customer features. We achieve significant regret reduction by mitigating costly exploration and providing extra contextual information that helps to guide the testing process. Moreover, we analyze the advantages and challenges of using opportunistic bandits for online retail experimentation.
