Aligning Vertical Collection Relevance with User Intent

Ke Zhou, Thomas Demeester, Dong Nguyen, Djoerd Hiemstra, Dolf Trieschnigg

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

Selecting and aggregating different types of content from multiple vertical search engines is becoming popular in web search. The user vertical intent, the verticals the user expects to be relevant for a particular information need, might not correspond to the vertical collection relevance, the verticals containing the most relevant content. In this work we propose different approaches to define the set of relevant verticals based on document judgments. We correlate the collection-based relevant verticals obtained from these approaches to the real user vertical intent, and show that they can be aligned relatively well. The set of relevant verticals defined by those approaches could therefore serve as an approximate but reliable ground-truth for evaluating vertical selection, avoiding the need for collecting explicit user vertical intent, and vice versa.
Original languageEnglish
Title of host publicationProceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management
Place of PublicationNew York, NY, USA
Number of pages4
ISBN (Print)978-1-4503-2598-1
Publication statusPublished - 2014

Publication series

NameCIKM '14


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