RecomMetz: A context-aware knowledge-based mobile recommender system for movie showtimes. Issue 3 (15th February 2015)

• Record Type: Journal Article
• Authors: Colombo-Mendoza, Luis Omar; Valencia-García, Rafael; Rodríguez-González, Alejandro; Alor-Hernández, Giner; Samper-Zapater, José Javier
• Is Part Of: Expert systems with applications. Volume 42:Issue 3(2015)
• Page Start: 1202
• Page End: 1222
• Publication Date: 2015-02-15
• Subjects: Expert systems (Computer science) -- Periodicals; Systèmes experts (Informatique) -- Périodiques; Electronic journals; 006.33
• DOI: 10.1016/j.eswa.2014.09.016
• Languages: English
• ISSNs: 0957-4174

Abstract

<abstract xml:lang="en" abstract-type="author-highlights" id="ab005"> <title id="st160">Highlights</title> <sec> <p id="sp0005"> <list id="l0005"> <list-item id="o0005"> <label></label> <p id="p0590">A novel semantic-based recommender system in the leisure domain is proposed.</p> </list-item> <list-item id="o0010"> <label></label> <p id="p0595">The context-aware approach is based on location, time and crowd information.</p> </list-item> <list-item id="o0015"> <label></label> <p id="p0600">Recommended items are viewed as composed items: movie theater + movie + showtime.</p> </list-item> <list-item id="o0020"> <label></label> <p id="p0605">Good performance results were obtained under cold-start real world scenarios.</p> </list-item> </list> </p> </sec> </abstract>