TY - JOUR A2 - Bellavista, Paolo AU - Cao, Buqing AU - Li, Bing AU - Liu, Jianxun AU - Tang, Mingdong AU - Liu, Yizhi AU - Li, Yanxinwen PY - 2019 DA - 2019/03/25 TI - Mobile Service Recommendation via Combining Enhanced Hierarchical Dirichlet Process and Factorization Machines SP - 6423805 VL - 2019 AB - Recently, Mashup is becoming a promising software development method in the mobile service computing environment, which enables software developers to compose existing mobile services to create new or value-added composite RESTful web application.由于互联网移动服务快速增量,很难找到最合适的服务构建用户期望mashup应用论文中整合词嵌入增强级Drichlet进程和分解机推荐移动服务构建高质量mashup应用这种方法首先使用Word2vec工具扩展mashup应用和移动服务描述文档并开发Drichlet层次进程从mashup扩展描述文档和移动服务中获取隐题第二,乘积机应用培训这些隐题预测Mashup所引用移动服务概率并推荐高质量移动服务用于mashup开发最后,全面评价拟议方法性能实验结果显示,与现有推荐方法相比,拟议方法在MAE和RMSE方面大有改进。SN-1574-017XUR-https://doi.org/101155/20196423805DO-10.1155/20196423805JF-移动信息系统PB-HindawiKW-ER-