Mansour Jalali, Azarbaijan Shahid Madani University, Tabriz, Iran
Zahra Yousefi, Azarbaijan Shahid Madani University, Tabriz, Iran
With the rapid development of computers, internet, social media and networks, and other digital multimedia technologies, it is needed to use a mechanism that can predict the needs and desires of users and recommend the bests for them. Introducing the social networks’ information into the traditional collaborative filtering (CF) algorithm, the essay studies the changes of user preference in social networks. Recently a lot of research efforts have been spent on building recommender systems by utilizing the abundant online social network’s data. This paper proposes an improved collaborative filtering algorithm based on fuzzy logic and Social Network Information. The proposed method enhances the accuracy of recommendations by combining the social tags, fuzzy logic and social networks’ information such as friendship and groups’ membership. Through the experiment, the improved algorithm has higher accuracy than the traditional filtering algorithms in the top-N recommendation list. It proves that the social networks’ information of users can affect the user's preference.
Fuzzy Logic, Recommender System, Collaborative Filtering, Social Tags, Social Network
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APA:
Jalali, M., & Yousefi, Z (2020). An Improved Fuzzy Logic Based Recommender System by Integrating Social Tags and Social Networks’ Information. International Journal of Control and Automation (IJCA), ISSN: 2005-4297 (Print); 2207-6387 (Online), NADIA, 13(8), 17-26. doi: 10.33832/ijca.2020.13.8.03.
MLA:
Jalali, Mansour, et al. “An Improved Fuzzy Logic Based Recommender System by Integrating Social Tags and Social Networks’ Information.” International Journal of Control and Automation, ISSN: 2005-4297 (Print); 2207-6387 (Online), NADIA, vol. 13, no. 8, 2020, pp. 17-26. IJCA, http://article.nadiapub.com/IJCA/vol13_no8/3.html.
IEEE:
[1] M. Jalali, and Z. Yousefi, "An Improved Fuzzy Logic Based Recommender System by Integrating Social Tags and Social Networks’ Information." International Journal of Control and Automation (IJCA), ISSN: 2005-4297 (Print); 2207-6387 (Online), NADIA, vol. 13, no. 8, pp. 17-22, August 2020.
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