Recommender systems evaluation has evolved rapidly in recent years. However, for offline
evaluation, accuracy is the de facto standard for assessing the superiority of one method …

We investigate a novel perspective to the development of effective algorithms for contact
recommendation in social networks, where the problem consists of automatically predicting …

The research community has historically addressed the collaborative filtering task in several
fashions. Although model-based approaches such as matrix factorisation attract substantial …

Kiosks are a popular self-service option in many fast-food restaurants, they save time for the
visitors and save labor for the fast-food chains. In this paper, we propose an effective design …

Query expansion is a successful approach for improving Information Retrieval effectiveness.
This work focuses on pseudo-relevance feedback (PRF) which provides an automatic …

We opensource under CC BY 4.0 license Lib-SibGMU–a university library circulation
dataset–for a wide research community, and benchmark major algorithms for recommender …

The fast growth and development of online social networks has posed new challenges for
information retrieval and, as a particular case, recommender systems. A particularly …

Traditional bag-of-word Information Retrieval (IR) has led to quasi-standard models (eg TF-
IDF, BM25) that are applied in the context of recommendation. While the benefits of semantic …

Information retrieval addresses the information needs of users by delivering relevant pieces
of information but requires users to convey their information needs explicitly. In contrast …

Contact recommendation is an important functionality in many social network scenarios
including Twitter and Facebook, since they can help grow the social networks of users by …