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Toward Privacy-Preserving Personalized Recommendation Services Review
Cong Wang, Yifeng Zheng, Jinghua Jiang, Kui Ren
Engineering 2018, Volume 4, Issue 1, Pages 21-28 doi: 10.1016/j.eng.2018.02.005
Recommendation systems are crucially important for the delivery of personalized services to users.With personalized recommendation services, users can enjoy a variety of targeted recommendations suchIn addition, personalized recommendation services have become extremely effective revenue drivers forDespite the great benefits, deploying personalized recommendation services typically requires the collection, and existing works that focus on privacy-preserving personalized recommendation services.
Keywords: Privacy protection Personalized recommendation services Targeted delivery Collaborative filtering Machine
Exploring nonlinear spatiotemporal effects for personalized next point-of-interest recommendation
孙曦,吕志民
Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 9, Pages 1273-1286 doi: 10.1631/FITEE.2200304
Keywords: Point-of-interest recommendation Spatiotemporal effects Long short-term memory (LSTM) Attention mechanism
RepoLike: amulti-feature-based personalized recommendation approach for open-source repositories None
Cheng YANG, Qiang FAN, Tao WANG, Gang YIN, Xun-hui ZHANG, Yue YU, Hua-min WANG
Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 2, Pages 222-237 doi: 10.1631/FITEE.1700196
With the deep integration of software collaborative development and social networking, social coding represents a new style of software production and creation paradigm. Because of their good flexibility and openness, a large number of external contributors have been attracted to the open-source communities. They are playing a significant role in open-source development. However, the open-source development online is a globalized and distributed cooperative work. If left unsupervised, the contribution process may result in inefficiency. It takes contributors a lot of time to find suitable projects or tasks from thousands of open-source projects in the communities to work on. In this paper, we propose a new approach called “RepoLike,” to recommend repositories for developers based on linear combination and learning to rank. It uses the project popularity, technical dependencies among projects, and social connections among developers to measure the correlations between a developer and the given projects. Experimental results show that our approach can achieve over 25% of hit ratio when recommending 20 candidates, meaning that it can recommend closely correlated repositories to social developers.
Keywords: Social coding Open-source software Personal recommendation GitHub
Personalized medicine of type 2 diabetes
Weiping Jia
Frontiers of Medicine 2013, Volume 7, Issue 1, Pages 1-3 doi: 10.1007/s11684-013-0241-y
Frontiers of Engineering Management Pages 582-596 doi: 10.1007/s42524-023-0268-y
Keywords: constructed wetland emergy ecosystem services disservices ternary diagram
Personalized biomedical devices & systems for healthcare applications
I-Ming CHEN, Soo Jay PHEE, Zhiqiang LUO, Chee Kian LIM
Frontiers of Mechanical Engineering 2011, Volume 6, Issue 1, Pages 3-12 doi: 10.1007/s11465-011-0209-z
Keywords: personalized medical devices wearable sensor haptic device ingestible medical capsule
Project management maturity in construction consulting services: Case of Expo in China
Yongkui LI, Qing YANG, Yan ZHANG
Frontiers of Engineering Management 2020, Volume 7, Issue 3, Pages 384-395 doi: 10.1007/s42524-019-0070-z
Keywords: construction consulting services project management maturity model non-process factors Expo
Recent development on statistical methods for personalized medicine discovery
Yingqi Zhao, Donglin Zeng
Frontiers of Medicine 2013, Volume 7, Issue 1, Pages 102-110 doi: 10.1007/s11684-013-0245-7
Keywords: dynamic treatment regimes personalized medicine reinforcement learning Q-learning
Family planning technical services in China
Shang-Chun WU
Frontiers of Medicine 2010, Volume 4, Issue 3, Pages 285-289 doi: 10.1007/s11684-010-0097-3
Keywords: family planning contraceptive method service delivery
Non-IID Recommender Systems: A Review and Framework of Recommendation Paradigm Shifting Artical
Longbing Cao
Engineering 2016, Volume 2, Issue 2, Pages 212-224 doi: 10.1016/J.ENG.2016.02.013
While recommendation plays an increasingly critical role in our living, study, work, and entertainment, the recommendations we receive are often for irrelevant, duplicate, or uninteresting products and servicesIn this paper, the non-IID nature and characteristics of recommendation are discussed, followed by theThis non-IID recommendation research triggers the paradigm shift from IID to non-IID recommendation researchand can hopefully deliver informed, relevant, personalized, and actionable recommendations.
Keywords: relationship Coupling learning Relational learning IIDness learning Non-IIDness learning Recommender system Recommendation Non-IID recommendation
Frontiers of Engineering Management Pages 563-576 doi: 10.1007/s42524-022-0198-0
Keywords: Internet hospitals physicians’ online counseling online reputation offline reputation
Baoyan Liu
Frontiers of Medicine 2014, Volume 8, Issue 3, Pages 272-278 doi: 10.1007/s11684-014-0364-9
Translational medicine promising personalized therapy in oncology
Yi-Xin ZENG, Xiao-Shi ZHANG, Qiang LIU,
Frontiers of Medicine 2010, Volume 4, Issue 4, Pages 351-355 doi: 10.1007/s11684-010-0320-2
Xuezhong Zhou,Yubing Li,Yonghong Peng,Jingqing Hu,Runshun Zhang,Liyun He,Yinghui Wang,Lijie Jiang,Shiyan Yan,Peng Li,Qi Xie,Baoyan Liu
Frontiers of Medicine 2014, Volume 8, Issue 3, Pages 337-346 doi: 10.1007/s11684-014-0349-8
Keywords: personalized medicine complex network clinical phenotype network traditional Chinese medicine
Socialized care services for the aged population: System construction and support measures
Frontiers of Engineering Management 2023, Volume 10, Issue 2, Pages 339-353 doi: 10.1007/s42524-022-0208-2
Keywords: socialized care service for the elderly system construction support measure
Title Author Date Type Operation
Toward Privacy-Preserving Personalized Recommendation Services
Cong Wang, Yifeng Zheng, Jinghua Jiang, Kui Ren
Journal Article
Exploring nonlinear spatiotemporal effects for personalized next point-of-interest recommendation
孙曦,吕志民
Journal Article
RepoLike: amulti-feature-based personalized recommendation approach for open-source repositories
Cheng YANG, Qiang FAN, Tao WANG, Gang YIN, Xun-hui ZHANG, Yue YU, Hua-min WANG
Journal Article
Urban constructed wetlands: Assessing ecosystem services and disservices for safe, resilient, and sustainable
Journal Article
Personalized biomedical devices & systems for healthcare applications
I-Ming CHEN, Soo Jay PHEE, Zhiqiang LUO, Chee Kian LIM
Journal Article
Project management maturity in construction consulting services: Case of Expo in China
Yongkui LI, Qing YANG, Yan ZHANG
Journal Article
Recent development on statistical methods for personalized medicine discovery
Yingqi Zhao, Donglin Zeng
Journal Article
Non-IID Recommender Systems: A Review and Framework of Recommendation Paradigm Shifting
Longbing Cao
Journal Article
Investigating the effect of online and offline reputation on the provision of online counseling services
Journal Article
Utilizing big data to build personalized technology and system of diagnosis and treatment in traditional
Baoyan Liu
Journal Article
Translational medicine promising personalized therapy in oncology
Yi-Xin ZENG, Xiao-Shi ZHANG, Qiang LIU,
Journal Article
Clinical phenotype network: the underlying mechanism for personalized diagnosis and treatment of traditional
Xuezhong Zhou,Yubing Li,Yonghong Peng,Jingqing Hu,Runshun Zhang,Liyun He,Yinghui Wang,Lijie Jiang,Shiyan Yan,Peng Li,Qi Xie,Baoyan Liu
Journal Article