Recommender systems use past behaviors of users to suggest items. Most tend to offer
items similar to the items that a target user has indicated as interesting. As a result, users …

Abstract In Recommender Systems, the techniques used for modeling implicit feedback such
as search, click or purchase actions have been well studied. As additional information …

Over the last years, recommendation techniques have emerged to cope with the challenging
task of optimal service selection, and to help consumers satisfy their needs and preferences …

Multimodal clustering is an unsupervised technique for mining interesting patterns in n-adic
binary relations or n-mode networks. Among different types of such generalised patterns one …

Recommendation systems have gained the intention of many researchers due to the growth
of the business of personalizing, sorting and suggesting products to customers. Most of the …

In this paper, we introduce an approach for approximate density computation of object-
attribute biclusters (OA-biclusters) given in the form (m′, g′), where (.)′ stands for Galois …

Abstract Triadic Formal Concept Analysis (3FCA) was introduced by Lehman and Wille
almost two decades ago. Many researchers work in Data Mining and Formal Concept …

Abstract Analysis of polyadic data (for example n-ary relations) becomes a popular task
nowadays. While several data mining techniques exist for dyadic contexts, their extensions …

Road Side Units (RSUs) have a crucial role in maintaining Vehicular Ad-hoc Networks
(VANETs) connectivity and coverage, especially, for applications gathering or disseminating …

In this paper, we explain how Galois connection and related operators between sets of users
and items naturally arise in user-item data for forming neighbourhoods of a target user or …