Tags (keywords freely assigned by users to describe web content) have become highly
popular on Web 2.0 applications, because of the strong stimuli and easiness for users to …

Ranking in information retrieval has been traditionally approached as a pursuit of relevant
information, under the assumption that the users' information needs are unambiguously …

Exploratory search requires the system to assist the user in comprehending the information
space and expressing evolving search intents for iterative exploration and retrieval of …

The intent-oriented search diversification methods developed in the field so far tend to build
on generative views of the retrieval system to be diversified. Core algorithm components in …

To mitigate the rabbit hole effect in recommendations, conventional distribution-aware
recommendation systems aim to ensure that a user's prior interest areas are reflected in the …

Given a user, a personalized search model relies on her historical behaviors, such as issued
queries and their clicked documents, to generate an interest profile and personalize search …

Diversity as a quality dimension for Recommender Systems has been receiving increasing
attention in the last few years. This has been paralleled by an intense strand of research on …

Search result diversification (SRD) aims to select diverse documents from the search results
in order to cover as many search intents as possible. A prerequisite is that the search results …

Diversification of web search results aims to promote documents with diverse content (ie,
covering different aspects of a query) to the top-ranked positions, to satisfy more users …

We present a study of which baseline to use when testing a new retrieval technique. In
contrast to past work, we show that measuring a statistically significant improvement over a …