Group recommender systems have become systems of great interest in the CBR community.
In previous papers we have described and validated a social recommendation model that …

Social recommender systems harness knowledge from social experiences, expertise and
interactions. In this paper we focus on two such knowledge sources: sentiment-rich user …

This paper describes our novel approach that applies Augmented Reality (AR) for the
explanation of recommendations in the movie domain. Our goal is to use augmented reality …

(1. 安徽新华学院信息工程学院, 合肥230088; 2. 合肥工业大学管理学院, 合肥230001; 3.
计算智能与信号处理教育部重点实验室(安徽大学), 合肥230039)(* 通信作者电子邮箱cxm9001 …

This paper shows that performing case-based reasoning (CBR) on knowledge coming from
an e-community is improved by taking into account knowledge reliability. MKM (meta …

Cette thèse propose deux approches pour améliorer la qualité des réponses d'un système
de raisonnement à partir de cas (RàPC) utilisant des connaissances produites par une …

Recommender Systems help users to overcome information overload by making predictions
and recommendations that meet users' tastes and preferences. A user's mood influences …

Recommender Systems play a significant role in helping users identify items worthwhile for
them to consume. With the increase of adopting such systems a need for systems that help a …

Requirement of group recommender systems (GRSs) is experiencing a dramatic growth due
to intelligent services being applied more broadly and involved in more and more domains …

Social recommender systems harness knowledge from social content, experiences and
interactions to provide recommendations to users. The retrieval and ranking of products …