IRJun 11, 2019

The Snippets Taxonomy in Web Search Engines

arXiv:1906.04497v29 citations
Originality Synthesis-oriented
AI Analysis

This work provides a taxonomy for web search snippets, which is incremental and domain-specific to search engine analysis.

The authors analyzed 50,000 keyword results from the Polish Google search engine to propose a taxonomy of snippets (regular, rich, news, featured, entity) and found correlations, such as commercial keywords not leading to rich or entity snippets, while non-commercial keywords do, with many snippets being scholarly articles or rich card carousels.

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.

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