Ranking in information retrieval has been traditionally approached
as a pursuit of relevant information, under the assumption that the
users' information needs are unambiguously conveyed by their
submitted queries. Nevertheless, as an inherently limited
representation of a more complex information need, every query can
arguably be considered ambiguous to some extent. In order to tackle
query ambiguity, search result diversification approaches have
recently been proposed to produce rankings aimed to satisfy the
multiple possible information needs underlying a query. This primer
on the topic reviews the published literature on search result
diversification. In particular, it discusses the motivations for
diversifying the search results for an ambiguous query and provides
a formal definition of the search result diversification problem.
In addition, it describes the most successful approaches in the
literature for producing and evaluating diversity in multiple
search domains. Finally, it also discusses recent advances as well
as open research directions in the field of search result
diversification.
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