With the recent advances in the field of artificial intelligence, an increasing number of
decision-making tasks are delegated to software systems. A key requirement for the success …

Big data technology offers unprecedented opportunities to society as a whole and also to its
individual members. At the same time, this technology poses significant risks to those it …

Novelty and diversity have been identified, along with accuracy, as prominent properties of
useful recommendations. Considerable progress has been made in the field in terms of the …

The determinantal point process (DPP) is an elegant probabilistic model of repulsion with
applications in various machine learning tasks including summarization and search …

Online information intermediaries such as Facebook and Google are slowly replacing
traditional media channels thereby partly becoming the gatekeepers of our society. To deal …

Many recommendation systems produce result sets with large numbers of highly similar
items. Diversifying these results is often accomplished with heuristics, which are …

Code review is an important part of the software development process. Recently, many open
source projects have begun practicing code review through “modern” tools such as GitHub …

Recommender systems are faced with new challenges that are beyond traditional
techniques. For example, most traditional techniques are based on similarity or overlap …

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

Result diversification has recently attracted much attention as a means of increasing user
satisfaction in recommender systems and web search. Many different approaches have …