A metric for measuring web search results satisfaction incorporating user behavior

Abstract

The evaluation of web search results for improving the performance of search engine is a serious challenge. This paper proposes a new metric for measuring web search results satisfaction incorporating user behavior. We investigate hundreds of users' behavior when they browse the result lists returned by search engine, as well as their perspective. The experimental results show that the metric achieves a more satisfying search results than the traditional metrics.