Understanding and leveraging the impact of response latency on user behaviour in web wearch
The interplay between the response latency of web search systems and users’ search experience has only recently started to attract research attention, despite the important implications of response latency on monetisation of such systems. In this work, we carry out two complementary studies to inves...
| Autores: | , , |
|---|---|
| Formato: | artículo |
| Estado: | Versión aceptada para publicación |
| Fecha de publicación: | 2017 |
| País: | España |
| Recursos: | Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
| Repositorio: | Recercat. Dipósit de la Recerca de Catalunya |
| OAI Identifier: | oai:recercat.cat:10230/32777 |
| Acesso em linha: | http://hdl.handle.net/10230/32777 http://dx.doi.org/10.1145/3106372 |
| Access Level: | acceso abierto |
| Palavra-chave: | Web search engine Response latency User behaviour Search experience User engagement Click prediction Energy consumption Green information retrieval |
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Understanding and leveraging the impact of response latency on user behaviour in web wearchArapakis, IoannisCambazoglu, B. BarlaFreire, AnaWeb search engineResponse latencyUser behaviourSearch experienceUser engagementClick predictionEnergy consumptionGreen information retrievalThe interplay between the response latency of web search systems and users’ search experience has only recently started to attract research attention, despite the important implications of response latency on monetisation of such systems. In this work, we carry out two complementary studies to investigate the impact of response latency on users’ searching behaviour in web search engines. We first conduct a controlled user study to investigate the sensitivity of users to increasing delays in response latency. This study shows that the users of a fast search system are more sensitive to delays than the users of a slow search system. Moreover, the study finds that users are more likely to notice the response latency delays beyond a certain latency threshold, their search experience potentially being affected. We then analyse a large number of search queries obtained from Yahoo Web Search to investigate the impact of response latency on users’ click behaviour. This analysis demonstrates the significant change in click behaviour as the response latency increases. We also find that certain user, context, and query attributes play a role in the way increasing response latency affects the click behaviour. To demonstrate a possible use case for our findings, we devise a machine learning framework that leverages the latency impact, together with other features, to predict whether a user will issue any clicks on web search results. As a further extension of this use case, we investigate whether this machine learning framework can be exploited to help search engines reduce their energy consumption during query processing.ACM Association for Computer Machinery201720172017info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/32777http://dx.doi.org/10.1145/3106372reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésACM Transactions on Information Systems; 2017 Sept;36(2):21© ACM, 2017. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ACM Transactions on Information Systems, vol. 36, no. 2 (2017). http://doi.acm.org/10.1145/10.1145/3106372info:eu-repo/semantics/openAccessoai:recercat.cat:10230/327772026-05-29T05:05:01Z |
| dc.title.none.fl_str_mv |
Understanding and leveraging the impact of response latency on user behaviour in web wearch |
| title |
Understanding and leveraging the impact of response latency on user behaviour in web wearch |
| spellingShingle |
Understanding and leveraging the impact of response latency on user behaviour in web wearch Arapakis, Ioannis Web search engine Response latency User behaviour Search experience User engagement Click prediction Energy consumption Green information retrieval |
| title_short |
Understanding and leveraging the impact of response latency on user behaviour in web wearch |
| title_full |
Understanding and leveraging the impact of response latency on user behaviour in web wearch |
| title_fullStr |
Understanding and leveraging the impact of response latency on user behaviour in web wearch |
| title_full_unstemmed |
Understanding and leveraging the impact of response latency on user behaviour in web wearch |
| title_sort |
Understanding and leveraging the impact of response latency on user behaviour in web wearch |
| dc.creator.none.fl_str_mv |
Arapakis, Ioannis Cambazoglu, B. Barla Freire, Ana |
| author |
Arapakis, Ioannis |
| author_facet |
Arapakis, Ioannis Cambazoglu, B. Barla Freire, Ana |
| author_role |
author |
| author2 |
Cambazoglu, B. Barla Freire, Ana |
| author2_role |
author author |
| dc.subject.none.fl_str_mv |
Web search engine Response latency User behaviour Search experience User engagement Click prediction Energy consumption Green information retrieval |
| topic |
Web search engine Response latency User behaviour Search experience User engagement Click prediction Energy consumption Green information retrieval |
| description |
The interplay between the response latency of web search systems and users’ search experience has only recently started to attract research attention, despite the important implications of response latency on monetisation of such systems. In this work, we carry out two complementary studies to investigate the impact of response latency on users’ searching behaviour in web search engines. We first conduct a controlled user study to investigate the sensitivity of users to increasing delays in response latency. This study shows that the users of a fast search system are more sensitive to delays than the users of a slow search system. Moreover, the study finds that users are more likely to notice the response latency delays beyond a certain latency threshold, their search experience potentially being affected. We then analyse a large number of search queries obtained from Yahoo Web Search to investigate the impact of response latency on users’ click behaviour. This analysis demonstrates the significant change in click behaviour as the response latency increases. We also find that certain user, context, and query attributes play a role in the way increasing response latency affects the click behaviour. To demonstrate a possible use case for our findings, we devise a machine learning framework that leverages the latency impact, together with other features, to predict whether a user will issue any clicks on web search results. As a further extension of this use case, we investigate whether this machine learning framework can be exploited to help search engines reduce their energy consumption during query processing. |
| publishDate |
2017 |
| dc.date.none.fl_str_mv |
2017 2017 2017 |
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info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion |
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article |
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acceptedVersion |
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http://hdl.handle.net/10230/32777 http://dx.doi.org/10.1145/3106372 |
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http://hdl.handle.net/10230/32777 http://dx.doi.org/10.1145/3106372 |
| dc.language.none.fl_str_mv |
Inglés |
| language_invalid_str_mv |
Inglés |
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ACM Transactions on Information Systems; 2017 Sept;36(2):21 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf application/pdf |
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ACM Association for Computer Machinery |
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ACM Association for Computer Machinery |
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reponame:Recercat. Dipósit de la Recerca de Catalunya instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
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Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
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Recercat. Dipósit de la Recerca de Catalunya |
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