Design of innovation and entrepreneurial repository system based on personalized recommendations
作者： Bin Wang
DOI: 10.1007/S10586-018-2529-9
关键词:
摘要: In order to promote the rational management and effective reuse of innovative project resources, a system university students’ innovation entrepreneurship resources based on personalized recommendation is designed implemented. The advantages disadvantages traditional repository are studied. characteristics college analyzed. introduces in e-commerce, which can improve efficiency resource transmission certain extent. process implementation, theoretical knowledge Spring, Struts, Hibernate, Linux, Tomcat applied practice. addition, current retrieval methods storage Based projects, database was searched using keyword retrieval, project-based full-text retrieval. behavioral attribute base, collaborative filtering algorithm selected. results show that realizes scientific entrepreneurial resources. diversity queries has been It makes good interaction between base learner.
springer.com
sci-hub.se 参考文章(14)
Weimin Li, Xunfeng Li, Mengke Yao, Jiulei Jiang, Qun Jin, Personalized fitting recommendation based on support vector regression Human-centric Computing and Information Sciences. ,vol. 5, pp. 21- ,(2015) , 10.1186/S13673-015-0041-2
Shuhui Jiang, Xueming Qian, Jialie Shen, Yun Fu, Tao Mei, Author Topic Model-Based Collaborative Filtering for Personalized POI Recommendations IEEE Transactions on Multimedia. ,vol. 17, pp. 907- 918 ,(2015) , 10.1109/TMM.2015.2417506
Balqies Sadoun, Omar Al-Bayari, Jalal Al-Azizi, Samih Al Rawashdeh, The BAU GIS system using open source mapwindow Human-centric Computing and Information Sciences. ,vol. 5, pp. 1- 12 ,(2015) , 10.1186/S13673-014-0018-6
Yingbo Liu, Jiujun Cheng, Chendan Yan, Xiao Wu, Fuzhen Chen, Research on the Matthews Correlation Coefficients Metrics of Personalized Recommendation Algorithm Evaluation International Journal of Hybrid Information Technology. ,vol. 8, pp. 163- 172 ,(2015) , 10.14257/IJHIT.2015.8.1.14
Wu Lei, Fang Qing, Jin Zhou, Improved Personalized Recommendation based on Causal Association Rule and Collaborative Filtering International Journal of Distance Education Technologies. ,vol. 14, pp. 21- 33 ,(2016) , 10.4018/IJDET.2016070102
Mohammed F. Alhamid, Majdi Rawashdeh, Haiwei Dong, M Anwar Hossain, Abdulmotaleb El Saddik, Exploring Latent Preferences for Context-Aware Personalized Recommendation Systems IEEE Transactions on Human-Machine Systems. ,vol. 46, pp. 615- 623 ,(2016) , 10.1109/THMS.2015.2509965
Caifeng Zou, Daqiang Zhang, Jiafu Wan, Mohammad Mehedi Hassan, Jaime Lloret, Using Concept Lattice for Personalized Recommendation System Design IEEE Systems Journal. ,vol. 11, pp. 305- 314 ,(2017) , 10.1109/JSYST.2015.2457244
Jianxun Liu, Mingdong Tang, Zibin Zheng, Xiaoqing Liu, Saixia Lyu, Location-Aware and Personalized Collaborative Filtering for Web Service Recommendation IEEE Transactions on Services Computing. ,vol. 9, pp. 686- 699 ,(2016) , 10.1109/TSC.2015.2433251
Yue Ma, Guoqing Chen, Qiang Wei, Finding users preferences from large-scale online reviews for personalized recommendation Electronic Commerce Research. ,vol. 17, pp. 3- 29 ,(2017) , 10.1007/S10660-016-9240-9
Zhijun Zhang, Gongwen Xu, Pengfei Zhang, Yongkang Wang, None, Personalized Recommendation System Based on WSN International Journal of Online Engineering (ijoe). ,vol. 12, pp. 91- 96 ,(2016) , 10.3991/IJOE.V12I10.6207