Wang C.-J.Cheng S.-M.Lee L.-H.Chen H.-H.Liu W.-S.Huang P.-W.Lin S.-P.2019-07-102019-07-1020129782951740877https://scholars.lib.ntu.edu.tw/handle/123456789/413148This paper proposes a method to construct an evaluation dataset from microblogs for the development of recommendation systems. We extract the relationships among three main entities in a recommendation event, i.e., who recommends what to whom. User-to-user friend relationships and user-to-resource interesting relationships in social media and resource-to-metadata descriptions in an external ontology are employed. In the experiments, the resources are restricted to visual entertainment media, movies in particular. A sequence of ground truths varying with time is generated. That reflects the dynamic of real world.Evaluation dataset constructionMicroblog analysisResource recommendationconference paper2-s2.0-84887964536https://www.scopus.com/inward/record.uri?eid=2-s2.0-84887964536&partnerID=40&md5=fa30c7906a161aa4bb2ce49520a95902