MFM: A Multiple-Features Model for Leisure Event Recommendation in Geotagged Social Networks
文献类型：期刊论文
| 作者 | Wu, Yazhao; Peng, Xia1,2,3; Niu, Yueyan4; Gui, Zhiming |
| 刊名 | ELECTRONICS
 |
| 出版日期 | 2024 |
| 卷号 | 13期号:1页码:112 |
| 关键词 | event recommendation system EBSN cold start user activity social relations |
| DOI | 10.3390/electronics13010112 |
| 产权排序 | 3 |
| 英文摘要 | Event-based social networks (EBSNs) are rich in information about users and leisure events. The willingness of users to participate in leisure events is influenced by many factors such as event time, location, content, organizer, and social relationship factors of users. Event recommendation systems in EBSNs can help leisure event organizers to accurately find users who want to participate in events. However, to address the existing cold-start problems and improve the accuracy of event recommendations, we propose a multiple-feature-based leisure event recommendation model (MFM). We introduce the user's social contacts into the user preference features and construct a user feature space by integrating the features of the user preferences for events and organizers and preferences of the user's closest friends. Moreover, considering the behavioral differences between active and inactive users, we extracted the respective features and trained the feature weight models. Finally, the experimental results showed that in comparison with the baseline models, the precision of the MFM is higher by at least 7.9%. |
| WOS关键词 | HEALTH |
| WOS研究方向 | Computer Science ; Engineering ; Physics |
| WOS记录号 | WOS:001139302300001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/201671]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 作者单位 | 1.Beijing Univ Technol, Fac Informat, Beijing 100124, Peoples R China 2.Beijing Union Univ, Tourism Coll, Beijing 100101, Peoples R China 3.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 4.Beijing Key Lab Urban Spatial Informat Engn, Beijing 100045, Peoples R China 5.Beijing Union Univ, Coll Appl Arts & Sci, Beijing 100191, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wu, Yazhao,Peng, Xia,Niu, Yueyan,et al. MFM: A Multiple-Features Model for Leisure Event Recommendation in Geotagged Social Networks[J]. ELECTRONICS,2024,13(1):112. |
| APA | Wu, Yazhao,Peng, Xia,Niu, Yueyan,&Gui, Zhiming.(2024).MFM: A Multiple-Features Model for Leisure Event Recommendation in Geotagged Social Networks.ELECTRONICS,13(1),112. |
| MLA | Wu, Yazhao,et al."MFM: A Multiple-Features Model for Leisure Event Recommendation in Geotagged Social Networks".ELECTRONICS 13.1(2024):112. |
入库方式： OAI收割
来源：地理科学与资源研究所
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