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25655 Alligning Vertical Collection Relevance with User Intent
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Zhou, Ke and Demeester, T. and Nguyen, Dong-Phuong and Hiemstra, D. and Trieschnigg, R.B. (2014) Alligning Vertical Collection Relevance with User Intent. In: Proceedings of the 23rd ACM Conference on Information and Knowledge Management, CIKM 2014, 3-7 Nov 2014, Shanghai, China. pp. 1915-1918. ACM. ISBN 978-1-4503-2598-1

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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.

Item Type:Conference or Workshop Paper (Extended Abstract, Poster)
Research Group:EWI-HMI: Human Media Interaction, EWI-DB: Databases
Research Program:CTIT-NICE: Natural Interaction in Computer-mediated Environments
Research Project:FACT: Folktales As Classifiable Texts, COMMIT/Infiniti: Information Retrieval for Information Services
ID Code:25655
Deposited On:04 February 2015
More Information:statisticsmetis

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