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Sources of Evidence for Vertical Selection
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BibTeX
@MISC{Arguello_sourcesof,
author = {Jaime Arguello and Fernando Díaz and Jean-françois Crespo and Montréal Qc Hmw and Jamie Callan},
title = {Sources of Evidence for Vertical Selection},
year = {}
}
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Abstract
Web search providers often include search services for domainspecific subcollections, called verticals, such as news, images, videos, job postings, company summaries, and artist profiles. We address the problem of vertical selection, predicting relevant verticals (if any) for queries issued to the search engine’s main web search page. In contrast to prior query classification and resource selection tasks, vertical selection is associated with unique resources that can inform the classification decision. We focus on three sources of evidence: (1) the query string, from which features are derived independent of external resources, (2) logs of queries previously issued directly to the vertical, and (3) corpora representative of vertical content. We focus on 18 different verticals, which differ in terms of semantics, media type, size, and level of query traffic. We compare our method to prior work in federated search and retrieval effectiveness prediction. An in-depth error analysis reveals unique challenges across different verticals and provides insight into vertical selection for future work.
Keyphrases
vertical selection different vertical future work domainspecific subcollections job posting corpus representative classification decision query string medium type query classification vertical content external resource query traffic resource selection task unique resource company summary search service relevant vertical retrieval effectiveness prediction federated search artist profile web search provider
