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http://arxiv.org/pdf/1906.0449...
Part of book or chapter of book
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arXiv.org e-Print Archive
Preprint . 2019
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The Snippets Taxonomy in Web Search Engines

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Article , Preprint , Other literature type 01 Jan 2019Embargo end date: 01 Jan 2019Publisher:Springer International Publishing
Authors: Artur Strzelecki; Paulina Rutecka;

doi: 10.1007/978-3-030-31143-8_13 , 10.48550/arxiv.1906.04497

arXiv: http://arxiv.org/abs/1906.04497

The Snippets Taxonomy in Web Search Engines

Abstract

In this paper authors analyzed 50 000 keywords results collected from localized Polish Google search engine. We proposed a taxonomy for snippets displayed in search results as regular, rich, news, featured and entity types snippets. We observed some correlations between overlapping snippets in the same keywords. Results show that commercial keywords do not cause results having rich or entity types snippets, whereas keywords resulting with snippets are not commercial nature. We found that significant number of snippets are scholarly articles and rich cards carousel. We conclude our findings with conclusion and research limitations.

12 pages, 3 tables

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Keywords

FOS: Computer and information sciences, Information Retrieval (cs.IR), Computer Science - Information Retrieval

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Top 10%
Average
Top 10%
Green
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