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Is Always a Hybrid Recommender System Preferable To Single Techniquesh

by Himan Abdollahpouri, Adel Rahmani, Alireza Abdollahpouri
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 82 - Number 4
Year of Publication: 2013
Authors: Himan Abdollahpouri, Adel Rahmani, Alireza Abdollahpouri
10.5120/14108-0361

Himan Abdollahpouri, Adel Rahmani, Alireza Abdollahpouri . Is Always a Hybrid Recommender System Preferable To Single Techniquesh. International Journal of Computer Applications. 82, 4 ( November 2013), 42-48. DOI=10.5120/14108-0361

@article{ 10.5120/14108-0361,
author = { Himan Abdollahpouri, Adel Rahmani, Alireza Abdollahpouri },
title = { Is Always a Hybrid Recommender System Preferable To Single Techniquesh },
journal = { International Journal of Computer Applications },
issue_date = { November 2013 },
volume = { 82 },
number = { 4 },
month = { November },
year = { 2013 },
issn = { 0975-8887 },
pages = { 42-48 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume82/number4/14108-0361/ },
doi = { 10.5120/14108-0361 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:56:56.398662+05:30
%A Himan Abdollahpouri
%A Adel Rahmani
%A Alireza Abdollahpouri
%T Is Always a Hybrid Recommender System Preferable To Single Techniquesh
%J International Journal of Computer Applications
%@ 0975-8887
%V 82
%N 4
%P 42-48
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Collaborative filtering (CF) recommender systems are typically unable to generate adequate recommendations in sparse datasets. Empirical evidence suggests that incorporation of a trust network among the users of a recommender system can significantly help to alleviate this problem. For this reason, some studies have been done on combining CF with trust-enhanced recommender system. In this study, we analyze the switching hybrid recommender system with the CF and trust-enhanced recommender system components from both rating coverage and mean absolute error point of view. Experiments on a dataset from Epinions. com prove that, although the rating coverage of this hybrid method is better than both (CF and trust-enhanced RS), but has lower accuracy than just using trust-enhanced RS. In other words, trust-enhanced RS outperforms the hybrid recommender system consisting of CF and trust-enhanced RS. Finally, we justify this result using analytical method.

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Index Terms

Computer Science
Information Sciences

Keywords

Recommender systems collaborative filtering trust hybrid recommender system

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