- 期刊
STD: An Improved Social Recommendation Model with Temporal Dynamics of Social Relationships
並列摘要
In online social networks, social recommendation incorporates social relationships to solve data sparsity problem. However, existing studies ignore temporal dynamics of social relationships. To improve recommendation accuracy, this paper proposes an improved social recommendation model, which takes temporal dynamics of social relationships into consideration. It infers users’ social influence from their interaction records, and weights social influence differently according to the time distance. It also employs matrix factorization technique to fuse temporal dynamics of social relationships and user preference features together, demonstrating time-dependent change of user preference. An empirical analysis on Epinions dataset demonstrates that our approach performs better on improving predicted accuracy compared with current social recommendation models.
延伸閱讀
- 莊宛達（2011）。The Effect of Temporal Distance and Perceived Social Distance on Status Quo〔碩士論文，國立臺中科技大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0061-2106201113561300
- 梁嘉展（2013）。Simulation Modeling and Analysis of Friend Interactions in Social Networks〔碩士論文，國立臺北科技大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0006-2906201312392600
- Hassan, S., Salgado, M., & Pavon, J. (2011). Friendship Dynamics: Modelling Social Relationships through a Fuzzy Agent-Based Simulation. Discrete Dynamics in Nature and Society, 2011(), 1429-1447. https://doi.org/10.1155/2011/765640
- Wang, Y. T. (2012). A Two-dimensional Competition Model for Social Network Sites [master's thesis, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU.2012.10621
- Lin, T. S. (2007). A BDI Agent-based Framework for Modeling Human Social Interactions [master's thesis, National Tsing Hua University]. Airiti Library. https://doi.org/10.6843/NTHU.2007.00168