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Enhancing group recommender systems: A fusion of social tagging and collaborative filtering for cohesive recommendations

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  • Jian Wang
  • Asif Kamran
  • Fakhar Shahzad
  • Nadeem Ahmad Syed

Abstract

This study examines the challenges and opportunities of using group recommendation systems in an information overload scenario. Social network recommendation systems are increasingly important because they deliver users customized choices. Most existing solutions are geared for single users, making it difficult to propose for a group with different interests. This paper analyses group recommendation systems and exposes their flaws. This study tested whether the suggested approach outperforms the one without tagging information in recall, precision, and user satisfaction. Empirical evidence indicates that the algorithm exhibits appropriate levels of reliability and accuracy compared to conventional methods. The proposed approach has the potential to substantially enhance the existing state of social network group recommendation systems, thereby facilitating users in their quest to identify and participate in groups that align with their preferences.

Suggested Citation

  • Jian Wang & Asif Kamran & Fakhar Shahzad & Nadeem Ahmad Syed, 2024. "Enhancing group recommender systems: A fusion of social tagging and collaborative filtering for cohesive recommendations," Systems Research and Behavioral Science, Wiley Blackwell, vol. 41(4), pages 665-680, July.
    • Handle: RePEc:bla:srbeha:v:41:y:2024:i:4:p:665-680
    DOI: 10.1002/sres.3000
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    References listed on IDEAS

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    1. Kim, Jae Kyeong & Kim, Hyea Kyeong & Oh, Hee Young & Ryu, Young U., 2010. "A group recommendation system for online communities," International Journal of Information Management, Elsevier, vol. 30(3), pages 212-219.
    2. Yin, Xicheng & Wang, Hongwei & Wang, Wei & Zhu, Kevin, 2020. "Task recommendation in crowdsourcing systems: A bibliometric analysis," Technology in Society, Elsevier, vol. 63(C).
    3. Jiayin Qi & Chao Zhu & Yanwu Yang, 2014. "Recommendations based on Social Relationships in Mobile Services," Systems Research and Behavioral Science, Wiley Blackwell, vol. 31(3), pages 424-436, May.
    4. Paul A. Pavlou & Omar A. El Sawy, 2006. "From IT Leveraging Competence to Competitive Advantage in Turbulent Environments: The Case of New Product Development," Information Systems Research, INFORMS, vol. 17(3), pages 198-227, September.
    5. Gerardine DeSanctis & R. Brent Gallupe, 1987. "A Foundation for the Study of Group Decision Support Systems," Management Science, INFORMS, vol. 33(5), pages 589-609, May.
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