Abstract
In this paper we discuss human behavior in interaction with information available on the Web via search. We consider seasonality as a novel source of context for Web search and discuss the possible impact it could have on search results quality. Seasonality is used in recommender systems as an attribute of the recommended item that might influence its perceived usefulness for particular user. We extend this idea to Web search, introduce a seasonality search context, describe the challenges it brings to Web search and discuss its applicability. We present our analysis of AOL log that shows that the level of seasonal behavior varies. © 2014 Springer International Publishing Switzerland.
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CITATION STYLE
Kramár, T., & Bieliková, M. (2014). Context of seasonality in web search. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8416 LNCS, pp. 644–649). Springer Verlag. https://doi.org/10.1007/978-3-319-06028-6_70
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