Selective Exploration of Commercial Documents in Web Search.

WWW '16: 25th International World Wide Web Conference Montréal Québec Canada April, 2016(2016)

引用 0|浏览14
暂无评分
摘要
Implicit user feedback is known to be a strong signal of user preferences in web search. Hence, solving the exploration-exploitation dilemma [5] became an important direction of improvement of ranking algorithms in the last years. In this poster, in the case of commercial queries, we consider a new negative effect of exploration on the user utility -- distracting and confusing users by shifting well-known documents from their common positions -- and propose an approach to take it into account within Multi-Armed Bandit algorithms, usually applied to solve the dilemma.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要