Abstract
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 language | Undefined |
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Title of host publication | Proceedings of the 23rd ACM Conference on Information and Knowledge Management, CIKM 2014 |
Place of Publication | New York |
Publisher | Association for Computing Machinery |
Pages | 1915-1918 |
Number of pages | 4 |
ISBN (Print) | 978-1-4503-2598-1 |
DOIs | |
Publication status | Published - Nov 2014 |
Event | 23rd ACM International Conference on Information and Knowledge Management, CIKM 2014 - Shanghai, China Duration: 3 Nov 2014 → 7 Nov 2014 Conference number: 23 |
Publication series
Name | |
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Publisher | ACM |
Conference
Conference | 23rd ACM International Conference on Information and Knowledge Management, CIKM 2014 |
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Abbreviated title | CIKM |
Country/Territory | China |
City | Shanghai |
Period | 3/11/14 → 7/11/14 |
Keywords
- EWI-25655
- IR-94307
- METIS-309867