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检索条件"主题词=recommendation algorithm"
367 条 记 录,以下是81-90 订阅
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recommendation algorithm for Mobile E-commerce Based on Reputation  19
Recommendation Algorithm for Mobile E-commerce Based on Repu...
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11th International Conference on Machine Learning and Computing (ICMLC)
作者: Chai, Yuan Li, Dong Wu, Yuchen Qinghai Univ Xining Qinghai Peoples R China Southwest Petr Univ Chengdu Sichuan Peoples R China
In the new technical background, more and more goods appear in front of the user. Unfortunately, users are increasingly easy to get lost in the massive commodity information. In order to improve the users experience o... 详细信息
来源: 评论
Product recommendation algorithm Combining Network Structure and Text Attributes
Product Recommendation Algorithm Combining Network Structure...
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IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)
作者: Hu, Wen Ge, Changshun Harbin Univ Commerce Sch Comp & Informat Engn Harbin Peoples R China Harbin Univ Commerce Heilongjiang Prov Key Lab Elect Commerce & Inform Harbin Peoples R China
Most traditional recommendation algorithms rely on common scoring items between users when making product recommenda-tions. The data is highly sparse and the recommendation effect is not good. Therefore, an improved c... 详细信息
来源: 评论
Improved Collaborative Filtering recommendation algorithm Based on Weibo Content  39
Improved Collaborative Filtering Recommendation Algorithm Ba...
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39th Chinese Control Conference (CCC)
作者: Xue, Juntao Ma, Ruohan Zhao, Yunfeng Hei, Junjie Tianjin Univ Sch Elect Automat & Informat Engn Tianjin 300072 Peoples R China
Taking Weibo content as the research object and aiming at the disadvantages of only popular recommendation for Weibo, we propose personalized recommendation scheme. The improved user-based collaborative filtering algo... 详细信息
来源: 评论
An Improved News recommendation algorithm Based on Text Similarity  3
An Improved News Recommendation Algorithm Based on Text Simi...
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3rd International Conference on Smart BlockChain (IEEE SmartBlock)
作者: Gao, Yihang Zhao, Hui Zhou, Qian Qiu, Meikang Liu, Meiqin Henan Univ Henan Int Joint Lab Theories & Key Technol Intell Kaifeng Peoples R China Henan Univ Educ Informat Technol Lab Kaifeng Peoples R China Yellow River Water Conservancy Vocat & Tech Coll Art Dept Kaifeng Henan Peoples R China Texas A&M Univ Commerce Dept Comp Sci Commerce TX 75428 USA Zhejiang Univ Coll Elect Engn Hangzhou 310027 Peoples R China
With the advent of the data age, the public has been facing the problem of information overload. recommendation algorithms are an effective way to solve this problem. At present, a large number of recommended algorith... 详细信息
来源: 评论
Music recommendation algorithm based on Contex-tual Semantics
International Core Journal of Engineering
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International Core Journal of Engineering 2021年 第7期7卷 102-110页
作者: Yang Zhou Cuiju Luan
User listening to songs is sequential, while traditional music recommendation algorithms do not con-sider the relationship between listening behaviors and their context, so a music recommendation algo-rithm based on c... 详细信息
来源: 评论
Collaborative Filtering recommendation algorithm Based on Bisecting K-means Clustering
Collaborative Filtering Recommendation Algorithm Based on Bi...
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International Symposium on Artificial Intelligence and Robotics
作者: Liu, Jia Kang, Xin Nishide, Shun Ren, Fuji Tokushima Univ Sch Informat Fac Engn Tokushima Japan
The traditional collaborative filtering recommendation algorithm has the problem of data sparsity and expansibility. Aiming at this problem, and improved bisecting k-means collaborative filtering algorithm *** algorit... 详细信息
来源: 评论
The application of the matrix decomposition recommendation algorithm based on attribute coupling is studied in the internet of things
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JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2019年 第5期37卷 6081-6089页
作者: Li, Xiaohong Li, Maolin Shaoyang Univ Prov Key Lab Informat Serv Rural Area Southwester Shaoyang Hunan Peoples R China Shaoyang Univ Coll Informat Engn Shaoyang Hunan Peoples R China
Traditional information recommendation system using only the user's score is calculated and recommended, although to a certain extent, can obtain the implied characteristics of users or resources, but the lack of ... 详细信息
来源: 评论
Research and application of recommendation algorithm based on bidirectional attention model
Research and application of recommendation algorithm based o...
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2021年第四届算法、计算和人工智能国际会议
作者: Jiahua Wan Chengrui Ji Yiwen Zhang School of Big Data and Artificial Intelligence Anhui Xinhua University School of Artificial Intelligence and Big Data Hefei University
Since the beginning of the 20 th century, with the continuous development of computer technology, more and more people began to use the convenience of computer to improve efficiency, but just because a large number of... 详细信息
来源: 评论
A Novel Social Situation Analytics-Based recommendation algorithm for Multimedia Social Networks
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IEEE ACCESS 2019年 7卷 117749-117760页
作者: Zhang, Zhiyong Sun, Ranran Choo, Kim-Kwang Raymond Fan, Kefeng Wu, Wei Zhang, Manhua Zhao, Changwei Henan Univ Sci & Technol Informat Engn Coll Luoyang 471023 Peoples R China Univ Texas San Antonio Dept Informat Syst & Cyber Secur San Antonio TX 78249 USA China Elect Standardizat Inst Beijing 100007 Peoples R China Skyworth Grp Co Ltd Shenzhen 518057 Peoples R China Shenzhen Chuangwei RGB Elect Co Ltd Shenzhen 518108 Peoples R China
Due to the increasing popularity of multimedia social networks (MSNs), the ability to mine users' interests in different contexts on such networks is crucial in recommendation systems. It is, however, challenging ... 详细信息
来源: 评论
Collaborative filtering recommendation algorithm integrating time windows and rating predictions
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APPLIED INTELLIGENCE 2019年 第8期49卷 3146-3157页
作者: Zhang, Pengfei Zhang, Zhijun Tian, Tian Wang, Yigui Shandong Jianzhu Univ Sch Comp Sci & Technol Jinan 250001 Shandong Peoples R China
This paper describes a new collaborative filtering recommendation algorithm based on probability matrix factorization. The proposed algorithm decomposes the rating matrix into two nonnegative matrixes using a predicti... 详细信息
来源: 评论