Relevance Ranking for Vertical Search Engines

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Multi-Aspect Relevance Ranking

Abstract

In this chapter, we describe learning to rank with multi-aspect relevance for vertical searches. Many vertical searches, such as local search, focus on specific domains. The meaning of relevance in these verticals is domain-specific and usually consists of multiple well-defined aspects. For example, in local search, text matching and distance are two important aspects to assessing relevance. Usually the overall relevance between a query and a document is a tradeoff among multiple-aspect relevancies. Given a single vertical, such a tradeoff can vary for different types of queries or in different contexts. In this chapter, we explore these vertical-specific aspects in the learning-to-rank setting. We ...