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In this part of the book, I provide background information about the collection and application of behavioral signals beyond what is already offered in the previous chapter. I discuss the ways in which evidence of search interaction can be collected and applied in search systems. Much of the previous research in this area has focused on the science behind information seeking behaviors or the effectiveness of novel interfaces to support those behaviors. In light of the data revolution, there has been a growth in interest in the collection, modeling, and application of search interaction behaviors at scale (across many thousands and millions of individuals) in settings such as web search and web browsing. In addition, there have been a number of recent technological advances in interaction methods (e.g. touch, gesture, and speech recognition), sensing, mobile and cloud computing, and machine learning that enable a range of new opportunities for search system design.
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