A Comprehensive Survey on Comparisons across Contextual Pre-filtering, Contextual Post-filtering and Contextual Modelling Approaches
10.12928/telkomnika.v15i4.6875
Khalid; University of Malaya
Bayero University, Malaysia Haruna
,
Maizatul; University of Malaya, Malaysia Akmar Ismail
,
Damiasih; Sekolah Tinggi Pariwisata Ambarrukmo, Indonesia Damiasih
,
Haruna; Federal College of Education (Technical) Gombe, Nigeria Chiroma
,
Tutut; Politeknik Negeri Malang
Sekolah Tinggi Pariwisata Ambarrukmo
Universitas Teknologi Yogyakarta, Indonesia Herawan
Recently, there has been growing interest in recommender systems (RS) and particularly in context-aware RS. Methods for generating context-aware recommendations are classified into pre-filtering, post-filtering and contextual modelling approaches. In this paper, we present the several novel approaches of the different variant of each of these three contextualization paradigms and present a complete survey on the state-of-the-art comparisons across them. We then identify the significant challenges that require being addressed by the current RS researchers, which will help academicians and practitioners in comparing these three approaches to select the best alternative according to their strategies.