Cross-Vertical Search Ranking
Abstract
A traditional Web search engine conducts ranking mainly in a single domain, i.e., it focuses on one type of data source, and effective modeling relies on a sufficiently large number of labeled examples, which require an expensive and time-consuming labeling process. On the other side, it is very common for a vertical search engine to conduct ranking tasks in various verticals, thus presenting a more challenging ranking problem: cross-domain ranking. Although in this book our focus is on cross-vertical ranking, the proposed approaches can be applied to more general cases, such as cross-language ranking. Therefore, we use a more general term, cross-domain ranking, in this book. For cross-domain ranking, ...
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