Artigos de revistas sobre o tema "Trust-based collaborative filtering"
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Zeng, Yejia, e Zehui Qu. "Trust-Based Neural Collaborative Filtering". Journal of Physics: Conference Series 1229 (maio de 2019): 012051. http://dx.doi.org/10.1088/1742-6596/1229/1/012051.
Texto completo da fonteNgwawe, Edwin, Elisha Abade e Stephen Mburu. "Trust Enhanced Collaborative Filtering Recommendation Algorithm". International Research Journal of Computer Science 10, n.º 04 (31 de maio de 2023): 88–96. http://dx.doi.org/10.26562/irjcs.2023.v1004.10.
Texto completo da fonteKim, Hyoung Do. "Applying Consistency-Based Trust Definition to Collaborative Filtering". KSII Transactions on Internet and Information Systems 3, n.º 4 (30 de agosto de 2009): 366–75. http://dx.doi.org/10.3837/tiis.2009.04.002.
Texto completo da fonteDuan, Miao. "Collaborative Filtering Recommendation Algorithm based on Trust Propagation". International Journal of Security and Its Applications 9, n.º 7 (31 de julho de 2015): 99–108. http://dx.doi.org/10.14257/ijsia.2015.9.7.09.
Texto completo da fonteGuo, Liangmin, Jiakun Liang, Ying Zhu, Yonglong Luo, Liping Sun e Xiaoyao Zheng. "Collaborative filtering recommendation based on trust and emotion". Journal of Intelligent Information Systems 53, n.º 1 (14 de julho de 2018): 113–35. http://dx.doi.org/10.1007/s10844-018-0517-4.
Texto completo da fonteFaridani, Vahid, Mehrdad Jalali e Majid Vafaei Jahan. "Collaborative filtering-based recommender systems by effective trust". International Journal of Data Science and Analytics 3, n.º 4 (15 de março de 2017): 297–307. http://dx.doi.org/10.1007/s41060-017-0049-y.
Texto completo da fonteYuan, Zahir e Yang. "Modeling Implicit Trust in Matrix Factorization-Based Collaborative Filtering". Applied Sciences 9, n.º 20 (16 de outubro de 2019): 4378. http://dx.doi.org/10.3390/app9204378.
Texto completo da fonteLiu, Duen-Ren, Chin-Hui Lai e Hsuan Chiu. "Sequence-based trust in collaborative filtering for document recommendation". International Journal of Human-Computer Studies 69, n.º 9 (agosto de 2011): 587–601. http://dx.doi.org/10.1016/j.ijhcs.2011.06.001.
Texto completo da fonteYeh, Tzu-Yu, e Rasha Kashef. "Trust-Based Collaborative Filtering Recommendation Systems on the Blockchain". Advances in Internet of Things 10, n.º 04 (2020): 37–56. http://dx.doi.org/10.4236/ait.2020.104004.
Texto completo da fonteChen, Hailong, Haijiao Sun, Miao Cheng e Wuyue Yan. "A Recommendation Approach for Rating Prediction Based on User Interest and Trust Value". Computational Intelligence and Neuroscience 2021 (6 de março de 2021): 1–9. http://dx.doi.org/10.1155/2021/6677920.
Texto completo da fonteHuang, Wenjun, Junyu Chen e Yue Ding. "Research on Collaborative Filtering Recommendation Based on Trust Relationship and Rating Trust". Frontiers in Business, Economics and Management 1, n.º 2 (19 de abril de 2021): 1–9. http://dx.doi.org/10.54097/fbem.v1i2.13.
Texto completo da fonteSongjie Gong. "A Collaborative Filtering Recommendation Algorithm Based on Trust Network and Trust Factor". Journal of Convergence Information Technology 8, n.º 5 (15 de março de 2013): 1111–18. http://dx.doi.org/10.4156/jcit.vol8.issue5.129.
Texto completo da fonteTan, Chengfang, Lin Cui e Xiaoyin Wu. "Fuzzy trust based collaborative filtering analysis for mobile user preferences". Journal of Intelligent & Fuzzy Systems 40, n.º 4 (12 de abril de 2021): 8269–75. http://dx.doi.org/10.3233/jifs-189649.
Texto completo da fonteMeng, Weizhi, Wenjuan Li e Lam For Kwok. "Towards Effective Trust-Based Packet Filtering in Collaborative Network Environments". IEEE Transactions on Network and Service Management 14, n.º 1 (março de 2017): 233–45. http://dx.doi.org/10.1109/tnsm.2017.2664893.
Texto completo da fonteSharma, Sanjeev Kumar, e Ugrasen Suman. "A trust-based architectural framework for collaborative filtering recommender system". International Journal of Business Information Systems 16, n.º 2 (2014): 134. http://dx.doi.org/10.1504/ijbis.2014.062835.
Texto completo da fonteGou, Jin, Junjie Guo, Lu Zhang e Cheng Wang. "Collaborative filtering recommendation system based on trust-aware and domain experts". Intelligent Data Analysis 23 (27 de junho de 2019): 133–51. http://dx.doi.org/10.3233/ida-192531.
Texto completo da fonteYe, Li, Chunming Wu e Min Li. "Collaborative Filtering Recommendation Based on Trust Model with Fused Similar Factor". MATEC Web of Conferences 139 (2017): 00010. http://dx.doi.org/10.1051/matecconf/201713900010.
Texto completo da fonteJiang, Liaoliang, Yuting Cheng, Li Yang, Jing Li, Hongyang Yan e Xiaoqin Wang. "A trust-based collaborative filtering algorithm for E-commerce recommendation system". Journal of Ambient Intelligence and Humanized Computing 10, n.º 8 (29 de junho de 2018): 3023–34. http://dx.doi.org/10.1007/s12652-018-0928-7.
Texto completo da fonteMa, Xiao, Hongwei Lu, Zaobin Gan e Jiangfeng Zeng. "An explicit trust and distrust clustering based collaborative filtering recommendation approach". Electronic Commerce Research and Applications 25 (setembro de 2017): 29–39. http://dx.doi.org/10.1016/j.elerap.2017.06.005.
Texto completo da fonteParvin, Hashem, Parham Moradi e Shahrokh Esmaeili. "TCFACO: Trust-aware collaborative filtering method based on ant colony optimization". Expert Systems with Applications 118 (março de 2019): 152–68. http://dx.doi.org/10.1016/j.eswa.2018.09.045.
Texto completo da fonteSong, Jiagang, Jiayu Song, Xinpan Yuan, Xiao He e Xinghui Zhu. "Graph Representation-Based Deep Multi-View Semantic Similarity Learning Model for Recommendation". Future Internet 14, n.º 2 (19 de janeiro de 2022): 32. http://dx.doi.org/10.3390/fi14020032.
Texto completo da fonteWu, Li Hua, e Wen Feng Chen. "Personalized Recommendation Based on Trust and Preference". Applied Mechanics and Materials 713-715 (janeiro de 2015): 2288–91. http://dx.doi.org/10.4028/www.scientific.net/amm.713-715.2288.
Texto completo da fonteHriekes, EEva Diab, e Yosser AlSayed Souleiman AlAtassi. "Improve the Performance of Advice Systems Based on Cooperative Liquidation Using Trust Relationships". JOURNAL OF UNIVERSITY OF BABYLON for Pure and Applied Sciences 27, n.º 1 (1 de abril de 2019): 87–106. http://dx.doi.org/10.29196/jubpas.v27i1.2068.
Texto completo da fonteZhang, Yao, Shuangliang Tai e Kunhui Ye. "Contractor Recommendation Model Using Credit Networking and Collaborative Filtering". Buildings 12, n.º 12 (22 de novembro de 2022): 2049. http://dx.doi.org/10.3390/buildings12122049.
Texto completo da fonteZahir, Yuan e Moniz. "AgreeRelTrust—a Simple Implicit Trust Inference Model for Memory-Based Collaborative Filtering Recommendation Systems". Electronics 8, n.º 4 (11 de abril de 2019): 427. http://dx.doi.org/10.3390/electronics8040427.
Texto completo da fonteKim, Kyung Soo, Doo Soo Chang e Yong Suk Choi. "Boosting Memory-Based Collaborative Filtering Using Content-Metadata". Symmetry 11, n.º 4 (18 de abril de 2019): 561. http://dx.doi.org/10.3390/sym11040561.
Texto completo da fonte吴, 应良. "An Improved Collaborative Filtering Recommendation Model and Method Based on Social Trust". E-Commerce Letters 08, n.º 02 (2019): 63–73. http://dx.doi.org/10.12677/ecl.2018.82008.
Texto completo da fonteMohammed Ismail, Dr, Dr K. Bhanu Prakash e Dr M. Nagabhushana Rao. "Collaborative filtering-based recommendation of online social voting". International Journal of Engineering & Technology 7, n.º 3 (16 de julho de 2018): 1504. http://dx.doi.org/10.14419/ijet.v7i3.11630.
Texto completo da fonteRoy, Falguni, e Mahamudul Hasan. "Comparative Analysis of Different Trust Metrics of User-User Trust-Based Recommendation System". Computer Science 23, n.º 3 (2 de outubro de 2022): 337–75. http://dx.doi.org/10.7494/csci.2022.23.3.4227.
Texto completo da fonteMartinez-Pabon, Francisco, Juan Camilo Ospina-Quintero, Gustavo Ramirez-Gonzalez e Mario Munoz-Organero. "Recommending Ads from Trustworthy Relationships in Pervasive Environments". Mobile Information Systems 2016 (2016): 1–18. http://dx.doi.org/10.1155/2016/8593173.
Texto completo da fonteZuo, Long, Shuo Xiong, Xin Qi, Zheng Wen e Yiwen Tang. "Communication-Based Book Recommendation in Computational Social Systems". Complexity 2021 (29 de janeiro de 2021): 1–10. http://dx.doi.org/10.1155/2021/6651493.
Texto completo da fonteZhimin Chen, Yi Jiang e Yao Zhao. "A Collaborative Filtering Recommendation Algorithm Based on User Interest Change and Trust Evaluation". International Journal of Digital Content Technology and its Applications 4, n.º 9 (31 de dezembro de 2010): 106–13. http://dx.doi.org/10.4156/jdcta.vol4.issue9.13.
Texto completo da fonteLai, Chin-Hui, Duen-Ren Liu e Cai-Sin Lin. "Novel personal and group-based trust models in collaborative filtering for document recommendation". Information Sciences 239 (agosto de 2013): 31–49. http://dx.doi.org/10.1016/j.ins.2013.03.030.
Texto completo da fonteHe, Wei. "Interior Design Scheme Recommendation Method Based on Improved Collaborative Filtering Algorithm". Wireless Communications and Mobile Computing 2021 (23 de dezembro de 2021): 1–10. http://dx.doi.org/10.1155/2021/3834550.
Texto completo da fonteChaomeng, Gao, e Wang Yonggang. "Analysis of Brand Visual Design Based on Collaborative Filtering Algorithm". Discrete Dynamics in Nature and Society 2022 (13 de janeiro de 2022): 1–8. http://dx.doi.org/10.1155/2022/8235966.
Texto completo da fonteSobha Rani, K. "TrustSVD: A Novel Trust-Based Matrix Factorization Model with User Trust and Item Ratings". International Journal of Advanced Research in Computer Science and Software Engineering 7, n.º 11 (30 de novembro de 2017): 7. http://dx.doi.org/10.23956/ijarcsse.v7i11.422.
Texto completo da fonteGhodousi, Elnaz, e Ali Hamzeh. "A New Approach for Trust Prediction by using collaborative filtering based of Pareto dominance in Social Networks". Ciência e Natura 37 (19 de dezembro de 2015): 95. http://dx.doi.org/10.5902/2179460x20758.
Texto completo da fonteBanda, Latha, Karan Singh, Le Hoang Son, Mohamed Abdel-Basset, Pham Huy Thong, Hiep Xuan Huynh e David Taniar. "Recommender Systems Using Collaborative Tagging". International Journal of Data Warehousing and Mining 16, n.º 3 (julho de 2020): 183–200. http://dx.doi.org/10.4018/ijdwm.2020070110.
Texto completo da fonteO'DONOVAN, JOHN, e BARRY SMYTH. "MINING TRUST VALUES FROM RECOMMENDATION ERRORS". International Journal on Artificial Intelligence Tools 15, n.º 06 (dezembro de 2006): 945–62. http://dx.doi.org/10.1142/s0218213006003053.
Texto completo da fontePaul, P. Mano, e R. Ravi. "A Collaborative Reputation-Based Vector Space Model for Email Spam Filtering". Journal of Computational and Theoretical Nanoscience 15, n.º 2 (1 de fevereiro de 2018): 474–79. http://dx.doi.org/10.1166/jctn.2018.7128.
Texto completo da fonteChen, Chaochao, Xiaolin Zheng, Mengying Zhu e Litao Xiao. "Recommender System with Composite Social Trust Networks". International Journal of Web Services Research 13, n.º 2 (abril de 2016): 56–73. http://dx.doi.org/10.4018/ijwsr.2016040104.
Texto completo da fonteF, Mary Harin Fernandez, Ramya S e Revathy V. "Social Recommendation Model with User Trust and Item Ratings Using Collaborative Filtering Technique in Hotel Application". Informatica : Journal of Applied Machines Electrical Electronics Computer Science and Communication Systems 01, n.º 01 (1 de dezembro de 2020): 17–22. http://dx.doi.org/10.47812/ijamecs2010103.
Texto completo da fonteVictor, Patricia, Chris Cornelis, Martine De Cock e Ankur Teredesai. "A Comparative Analysis of Trust-Enhanced Recommenders for Controversial Items". Proceedings of the International AAAI Conference on Web and Social Media 3, n.º 1 (20 de março de 2009): 342–45. http://dx.doi.org/10.1609/icwsm.v3i1.13986.
Texto completo da fonteLai, Chin-Hui, e Yu-Chieh Chang. "Document recommendation based on the analysis of group trust and user weightings". Journal of Information Science 45, n.º 6 (4 de janeiro de 2019): 845–62. http://dx.doi.org/10.1177/0165551518819973.
Texto completo da fonteZhang, Shuai, Wenting Yang, Song Xu e Wenyu Zhang. "A Hybrid Social Network-based Collaborative Filtering Method for Personalized Manufacturing Service Recommendation". International Journal of Computers Communications & Control 12, n.º 5 (10 de setembro de 2017): 728. http://dx.doi.org/10.15837/ijccc.2017.5.2930.
Texto completo da fonteHsu, Ping-Yu, Jui-Yi Chung e Yu-Chin Liu. "Using the beta distribution technique to detect attacked items from collaborative filtering". Intelligent Data Analysis 25, n.º 1 (26 de janeiro de 2021): 121–37. http://dx.doi.org/10.3233/ida-194935.
Texto completo da fonteXu, Chonghuan. "Personal Recommendation Using a Novel Collaborative Filtering Algorithm in Customer Relationship Management". Discrete Dynamics in Nature and Society 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/739460.
Texto completo da fonteZhang, Xuefeng, Xiuli Chen, Dewen Seng e Xujian Fang. "A Factored Similarity Model with Trust and Social Influence for Top-N Recommendation". International Journal of Computers Communications & Control 14, n.º 4 (5 de agosto de 2019): 590–607. http://dx.doi.org/10.15837/ijccc.2019.4.3577.
Texto completo da fonteSun, Dasong, Shuqing Li, Wenjing Yan, Fusen Jiao e Junpeng Chen. "Research on User Interest Expression and Recommendation Service based on Three-dimensional Relationship of Users and Items". International Journal on Recent and Innovation Trends in Computing and Communication 8, n.º 5 (31 de maio de 2020): 01–15. http://dx.doi.org/10.17762/ijritcc.v8i5.5382.
Texto completo da fonteWu, Jian, Jiali Chang, Qingwei Cao e Changyong Liang. "A trust propagation and collaborative filtering based method for incomplete information in social network group decision making with type-2 linguistic trust". Computers & Industrial Engineering 127 (janeiro de 2019): 853–64. http://dx.doi.org/10.1016/j.cie.2018.11.020.
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