A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf
.
A Comprehensive Survey on Comparisons across Contextual Pre-Filtering, Contextual Post-Filtering and Contextual Modelling Approaches
2017
TELKOMNIKA (Telecommunication Computing Electronics and Control)
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
doi:10.12928/telkomnika.v15i4.6875
fatcat:vmdfl4gypbftlfz7evh2wsofsq