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检索条件"主题词=Recommendation Algorithms"
90 条 记 录,以下是61-70 订阅
排序:
Improving Time-Aware recommendations in Open Source Packages
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INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS 2019年 第6期28卷
作者: Symeonidis, Panagiotis Coba, Ludovik Zanker, Markus Free Univ Bozen Bolzano Fac Comp Sci Piazza Domenicani 3 I-39100 Bozen Bolzano Italy
Collaborative filtering techniques have been studied extensively during the last decade. Many open source packages (Apache Mahout, LensKit, MyMediaLite, rrecsys etc.) have implemented them, but typically the top-N rec... 详细信息
来源: 评论
On the Joint Recovery of Community Structure and Community Features  56
On the Joint Recovery of Community Structure and Community F...
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56th Annual Allerton Conference on Communication, Control, and Computing (Allerton)
作者: Yoon, Jisang Lee, Kangwook Suh, Changho Kakaocorp R&D Ctr Sungnam South Korea Korea Adv Inst Sci & Technol Sch EE Daejeon South Korea
We study the problem of recovering both K communities and their features from a labeled graph observation. We assume that the edges of an observed graph are generated as per the symmetric Stochastic Block Model (SBM),... 详细信息
来源: 评论
Novelty-Aware Matrix Factorization Based on Items' Popularity  17th
Novelty-Aware Matrix Factorization Based on Items' Popularit...
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17th International Conference of the Italian-Association-for-Artificial-Intelligence (AI*IA)
作者: Coba, Ludovik Symeonidis, Panagiotis Zanker, Markus Free Univ Bozen Bolzano I-39100 Bozen Bolzano Italy
The search for unfamiliar experiences and novelty is one of the main drivers behind all human activities, equally important with harm avoidance and reward dependence. A recommender system personalizes suggestions to i... 详细信息
来源: 评论
recommendation in feature space sphere
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ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS 2017年 26卷 109-118页
作者: Zhao, Zhi-Lin Wang, Chang-Dong Wan, Yuan-Yu Lai, Jian-Huang Sun Yat Sen Univ Sch Data & Comp Sci Guangzhou Guangdong Peoples R China Nanjing Univ Dept Comp Sci & Technol Nanjing Jiangsu Peoples R China
Recently, recommendation algorithms have been widely used in many e-commerce platforms to recommend items to users on the basis of their preferences to improve selling efficiency. Matrix factorization methods which ex... 详细信息
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Birds of a Feather Get Recommended Together: Algorithmic Homophily in YouTube's Channel recommendations in the United States and Germany
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SOCIAL MEDIA + SOCIETY 2020年 第4期6卷
作者: Kaiser, Jonas Rauchfleisch, Adrian Harvard Univ Berkman Klein Ctr Internet & Soc 23 Everett StSecond Floor Cambridge MA 02138 USA Alexander von Humboldt Inst Internet & Soc Berlin Germany Suffolk Univ Boston MA 02114 USA Natl Taiwan Univ Grad Inst Journalism Taipei Taiwan
algorithms and especially recommendation algorithms play an important role online, most notably on YouTube. Yet, little is known about the network communities that these algorithms form. We analyzed the channel recomm... 详细信息
来源: 评论
Mobile Gift recommendation Algorithm  19
Mobile Gift Recommendation Algorithm
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19th International Conference on Enterprise Information Systems (ICEIS)
作者: Pereira, Caique de Paula da Costa, Ruyther Parente Canedo, Edna Dias Univ Brasilia Fac UnB Gama Gama DF Brazil
The mobile application market and e-commerce sales have grown steadily, along with the growth of studies and product recommendation solutions implemented in e-commerce systems. In this context, this paper proposes a r... 详细信息
来源: 评论
A Multiobjective Genetic Algorithm based Hybrid recommendation Approach
A Multiobjective Genetic Algorithm based Hybrid Recommendati...
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IEEE Symposium Series on Computational Intelligence (IEEE SSCI)
作者: Wang, Pan Zuo, Xingquan Guo, Congcong Li, Ruihong Zhao, Xinchao Luo, Chaomin Beijing Univ Posts & Telecommun Sch Comp Sci Beijing Peoples R China Minist Educ Key Lab Trustworthy Distributed Comp & Serv Beijing Peoples R China Beijing Univ Posts & Telecommun Sch Sci Beijing Peoples R China Univ Detroit Mercy Dept Elect & Comp Detroit MI 48221 USA
Personalized recommendation approaches have received much attention over the years. In this paper, we propose a hybrid recommendation approach that integrates an item-based collaborative filtering, a user-based collab... 详细信息
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Low-Rank and Sparse Matrix Completion for recommendation  24th
Low-Rank and Sparse Matrix Completion for Recommendation
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24th International Conference on Neural Information Processing (ICONIP)
作者: Zhao, Zhi-Lin Huang, Ling Wang, Chang-Dong Lai, Jian-Huang Yu, Philip S. Sun Yat Sen Univ Sch Data & Comp Sci Guangzhou Peoples R China Univ Illinois Dept Comp Sci Chicago IL USA Tsinghua Univ Inst Data Sci Beijing Peoples R China
Recently, recommendation algorithms have been widely used to improve the benefit of businesses and the satisfaction of users in many online platforms. However, most of the existing algorithms generate intermediate out... 详细信息
来源: 评论
Visual Analysis of recommendation Performance  17
Visual Analysis of Recommendation Performance
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11th ACM Conference on Recommender Systems (RecSys)
作者: Coba, Ludovik Symeonidis, Panagiotis Zanker, Markus Free Univ Bozen Fac Comp Sci Piazza Domenicani 3 I-39100 Bolzano Italy
rrecsys is a novel library in R for developing and assessing recommendation algorithms. In this demo, we extend rrecsys with functions for visual analytics of recommendation performance, that is one of the strong capa... 详细信息
来源: 评论
A collaborative filtering recommendation method based on TagIEA expert degree model
A collaborative filtering recommendation method based on Tag...
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International Journal of Computational Science and Engineering
作者: Li, Weimin Wang, Bin Zou, Jianbo Sheng, Jinfang School of Information Science and Engineering Central South University 932 Lushan South Road Changsha Hunan410083 China Department of Information Science and Engineering Hunan University of Humanities Science and Technology Loudi Hunan China
In recent years, social networking services and e-commerce have been developing rapidly. The research of recommending in e-commerce service mainly focused on using the collaborative filtering algorithm. But the algori... 详细信息
来源: 评论