Loepp, Benedikt; Barbu, Catalin-Mihai; Ziegler, Jürgen:
Interactive Recommending: Framework, State of Research and Future Challenges
In: Proceedings of the Workshop on Engineering Computer-Human Interaction in Recommender Systems - EnCHIReS 2016 - 2016 - (CEUR workshop proceedings ; 1705), S. 3 - 13
2016Buchaufsatz/Kapitel in TagungsbandInformatik
Fakultät für IngenieurwissenschaftenFakultät für Ingenieurwissenschaften » Informatik und Angewandte KognitionswissenschaftFakultät für Ingenieurwissenschaften » Informatik und Angewandte Kognitionswissenschaft » InformatikFakultät für Ingenieurwissenschaften » Informatik und Angewandte Kognitionswissenschaft » Informatik » Interaktive Systeme / Interaktionsdesign
Titel:
Interactive Recommending: Framework, State of Research and Future Challenges
Autor(in):
Loepp, BenediktLSF; Barbu, Catalin-MihaiLSF; Ziegler, JürgenLSF
WWW URL
Sprache des Textes
Englisch
Schlagwort, Thema:
Recommender Systems ; nteractive Recommending ; Models ; User Experience ; User Interfaces ; Survey

Abstract:

In this paper, we present a framework describing the various aspects of recommender systems that can serve for empowering users by giving them more interactive control and transparency in the recommendation process. While conventional recommenders mostly operate like black boxes that cannot be influenced by the user, we identify four aspects properly connected with the recommendation algorithm—namely input data, user model, external con-text model and presentation—as essential points in which a system may be enhanced by additional interaction possibilities. In light of this framework, we take a closer look at prior and present solutions to integrate recommender systems with more interactivity and describe future research challenges. Regarding these challenges, we especially focus on experiences gained in our own work and outline future research we have planned in the area of interactive recommending.