期刊名称：Bulletin of the Technical Committee on Data Engineering
出版年度：2009
卷号：32
期号：04
出版社：IEEE Computer Society
摘要：Informally speaking, diversification of search results refers to a trade-off between relevance and diversity
in the set of results. In this article, we present a unifying framework for search result diversification using
the axiomatic approach. The characterization provided by the axiomatic framework can help design
and compare diversification systems, and we illustrate this using several examples. We also show that
several diversification objectives can be reduced to the combinatorial optimization problem of facility
dispersion. This reduction results in algorithms with provable guarantees for a number of well-known
diversification objectives.
