Home // COLLA 2020, The Tenth International Conference on Advanced Collaborative Networks, Systems and Applications // View article
Social Context Contribution to Group Recommender Systems
Authors:
Safey Halim
Georg Groh
Keywords: group recommendation; collaborative filtering; social networking; social context; tie strength; social hierarchy
Abstract:
There are several factors that influence the group decision making process. The individual’s personality and the group’s social context play a role in the group’s decision and the individual’s satisfaction with it. Group recommender systems, which offer support to group decision making can offer better results by incorporating such factors. In this paper, we present a social context-aware group recommendation platform which takes into consideration several of the social factors between the group members in the recommendation process. We examined the effect of multiple social factors independently and collectively on the recommenders’ outcomes. Our analysis shows the superiority of social-context aware group recommenders compared to a collaborative filtering group recommender baseline approach.
Pages: 8 to 17
Copyright: Copyright (c) IARIA, 2020
Publication date: October 18, 2020
Published in: conference
ISSN: 2308-4227
ISBN: 978-1-61208-797-9
Location: Porto, Portugal
Dates: from October 18, 2020 to October 22, 2020