Artykuły w czasopismach na temat „Trust-based collaborative filtering”
Utwórz poprawne odniesienie w stylach APA, MLA, Chicago, Harvard i wielu innych
Sprawdź 50 najlepszych artykułów w czasopismach naukowych na temat „Trust-based collaborative filtering”.
Przycisk „Dodaj do bibliografii” jest dostępny obok każdej pracy w bibliografii. Użyj go – a my automatycznie utworzymy odniesienie bibliograficzne do wybranej pracy w stylu cytowania, którego potrzebujesz: APA, MLA, Harvard, Chicago, Vancouver itp.
Możesz również pobrać pełny tekst publikacji naukowej w formacie „.pdf” i przeczytać adnotację do pracy online, jeśli odpowiednie parametry są dostępne w metadanych.
Przeglądaj artykuły w czasopismach z różnych dziedzin i twórz odpowiednie bibliografie.
Zeng, Yejia, i Zehui Qu. "Trust-Based Neural Collaborative Filtering". Journal of Physics: Conference Series 1229 (maj 2019): 012051. http://dx.doi.org/10.1088/1742-6596/1229/1/012051.
Pełny tekst źródłaNgwawe, Edwin, Elisha Abade i Stephen Mburu. "Trust Enhanced Collaborative Filtering Recommendation Algorithm". International Research Journal of Computer Science 10, nr 04 (31.05.2023): 88–96. http://dx.doi.org/10.26562/irjcs.2023.v1004.10.
Pełny tekst źródłaKim, Hyoung Do. "Applying Consistency-Based Trust Definition to Collaborative Filtering". KSII Transactions on Internet and Information Systems 3, nr 4 (30.08.2009): 366–75. http://dx.doi.org/10.3837/tiis.2009.04.002.
Pełny tekst źródłaDuan, Miao. "Collaborative Filtering Recommendation Algorithm based on Trust Propagation". International Journal of Security and Its Applications 9, nr 7 (31.07.2015): 99–108. http://dx.doi.org/10.14257/ijsia.2015.9.7.09.
Pełny tekst źródłaGuo, Liangmin, Jiakun Liang, Ying Zhu, Yonglong Luo, Liping Sun i Xiaoyao Zheng. "Collaborative filtering recommendation based on trust and emotion". Journal of Intelligent Information Systems 53, nr 1 (14.07.2018): 113–35. http://dx.doi.org/10.1007/s10844-018-0517-4.
Pełny tekst źródłaFaridani, Vahid, Mehrdad Jalali i Majid Vafaei Jahan. "Collaborative filtering-based recommender systems by effective trust". International Journal of Data Science and Analytics 3, nr 4 (15.03.2017): 297–307. http://dx.doi.org/10.1007/s41060-017-0049-y.
Pełny tekst źródłaYuan, Zahir i Yang. "Modeling Implicit Trust in Matrix Factorization-Based Collaborative Filtering". Applied Sciences 9, nr 20 (16.10.2019): 4378. http://dx.doi.org/10.3390/app9204378.
Pełny tekst źródłaLiu, Duen-Ren, Chin-Hui Lai i Hsuan Chiu. "Sequence-based trust in collaborative filtering for document recommendation". International Journal of Human-Computer Studies 69, nr 9 (sierpień 2011): 587–601. http://dx.doi.org/10.1016/j.ijhcs.2011.06.001.
Pełny tekst źródłaYeh, Tzu-Yu, i Rasha Kashef. "Trust-Based Collaborative Filtering Recommendation Systems on the Blockchain". Advances in Internet of Things 10, nr 04 (2020): 37–56. http://dx.doi.org/10.4236/ait.2020.104004.
Pełny tekst źródłaChen, Hailong, Haijiao Sun, Miao Cheng i Wuyue Yan. "A Recommendation Approach for Rating Prediction Based on User Interest and Trust Value". Computational Intelligence and Neuroscience 2021 (6.03.2021): 1–9. http://dx.doi.org/10.1155/2021/6677920.
Pełny tekst źródłaHuang, Wenjun, Junyu Chen i Yue Ding. "Research on Collaborative Filtering Recommendation Based on Trust Relationship and Rating Trust". Frontiers in Business, Economics and Management 1, nr 2 (19.04.2021): 1–9. http://dx.doi.org/10.54097/fbem.v1i2.13.
Pełny tekst źródłaSongjie Gong. "A Collaborative Filtering Recommendation Algorithm Based on Trust Network and Trust Factor". Journal of Convergence Information Technology 8, nr 5 (15.03.2013): 1111–18. http://dx.doi.org/10.4156/jcit.vol8.issue5.129.
Pełny tekst źródłaTan, Chengfang, Lin Cui i Xiaoyin Wu. "Fuzzy trust based collaborative filtering analysis for mobile user preferences". Journal of Intelligent & Fuzzy Systems 40, nr 4 (12.04.2021): 8269–75. http://dx.doi.org/10.3233/jifs-189649.
Pełny tekst źródłaMeng, Weizhi, Wenjuan Li i Lam For Kwok. "Towards Effective Trust-Based Packet Filtering in Collaborative Network Environments". IEEE Transactions on Network and Service Management 14, nr 1 (marzec 2017): 233–45. http://dx.doi.org/10.1109/tnsm.2017.2664893.
Pełny tekst źródłaSharma, Sanjeev Kumar, i Ugrasen Suman. "A trust-based architectural framework for collaborative filtering recommender system". International Journal of Business Information Systems 16, nr 2 (2014): 134. http://dx.doi.org/10.1504/ijbis.2014.062835.
Pełny tekst źródłaGou, Jin, Junjie Guo, Lu Zhang i Cheng Wang. "Collaborative filtering recommendation system based on trust-aware and domain experts". Intelligent Data Analysis 23 (27.06.2019): 133–51. http://dx.doi.org/10.3233/ida-192531.
Pełny tekst źródłaYe, Li, Chunming Wu i 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.
Pełny tekst źródłaJiang, Liaoliang, Yuting Cheng, Li Yang, Jing Li, Hongyang Yan i Xiaoqin Wang. "A trust-based collaborative filtering algorithm for E-commerce recommendation system". Journal of Ambient Intelligence and Humanized Computing 10, nr 8 (29.06.2018): 3023–34. http://dx.doi.org/10.1007/s12652-018-0928-7.
Pełny tekst źródłaMa, Xiao, Hongwei Lu, Zaobin Gan i Jiangfeng Zeng. "An explicit trust and distrust clustering based collaborative filtering recommendation approach". Electronic Commerce Research and Applications 25 (wrzesień 2017): 29–39. http://dx.doi.org/10.1016/j.elerap.2017.06.005.
Pełny tekst źródłaParvin, Hashem, Parham Moradi i Shahrokh Esmaeili. "TCFACO: Trust-aware collaborative filtering method based on ant colony optimization". Expert Systems with Applications 118 (marzec 2019): 152–68. http://dx.doi.org/10.1016/j.eswa.2018.09.045.
Pełny tekst źródłaSong, Jiagang, Jiayu Song, Xinpan Yuan, Xiao He i Xinghui Zhu. "Graph Representation-Based Deep Multi-View Semantic Similarity Learning Model for Recommendation". Future Internet 14, nr 2 (19.01.2022): 32. http://dx.doi.org/10.3390/fi14020032.
Pełny tekst źródłaWu, Li Hua, i Wen Feng Chen. "Personalized Recommendation Based on Trust and Preference". Applied Mechanics and Materials 713-715 (styczeń 2015): 2288–91. http://dx.doi.org/10.4028/www.scientific.net/amm.713-715.2288.
Pełny tekst źródłaHriekes, EEva Diab, i 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, nr 1 (1.04.2019): 87–106. http://dx.doi.org/10.29196/jubpas.v27i1.2068.
Pełny tekst źródłaZhang, Yao, Shuangliang Tai i Kunhui Ye. "Contractor Recommendation Model Using Credit Networking and Collaborative Filtering". Buildings 12, nr 12 (22.11.2022): 2049. http://dx.doi.org/10.3390/buildings12122049.
Pełny tekst źródłaZahir, Yuan i Moniz. "AgreeRelTrust—a Simple Implicit Trust Inference Model for Memory-Based Collaborative Filtering Recommendation Systems". Electronics 8, nr 4 (11.04.2019): 427. http://dx.doi.org/10.3390/electronics8040427.
Pełny tekst źródłaKim, Kyung Soo, Doo Soo Chang i Yong Suk Choi. "Boosting Memory-Based Collaborative Filtering Using Content-Metadata". Symmetry 11, nr 4 (18.04.2019): 561. http://dx.doi.org/10.3390/sym11040561.
Pełny tekst źródła吴, 应良. "An Improved Collaborative Filtering Recommendation Model and Method Based on Social Trust". E-Commerce Letters 08, nr 02 (2019): 63–73. http://dx.doi.org/10.12677/ecl.2018.82008.
Pełny tekst źródłaMohammed Ismail, Dr, Dr K. Bhanu Prakash i Dr M. Nagabhushana Rao. "Collaborative filtering-based recommendation of online social voting". International Journal of Engineering & Technology 7, nr 3 (16.07.2018): 1504. http://dx.doi.org/10.14419/ijet.v7i3.11630.
Pełny tekst źródłaRoy, Falguni, i Mahamudul Hasan. "Comparative Analysis of Different Trust Metrics of User-User Trust-Based Recommendation System". Computer Science 23, nr 3 (2.10.2022): 337–75. http://dx.doi.org/10.7494/csci.2022.23.3.4227.
Pełny tekst źródłaMartinez-Pabon, Francisco, Juan Camilo Ospina-Quintero, Gustavo Ramirez-Gonzalez i 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.
Pełny tekst źródłaZuo, Long, Shuo Xiong, Xin Qi, Zheng Wen i Yiwen Tang. "Communication-Based Book Recommendation in Computational Social Systems". Complexity 2021 (29.01.2021): 1–10. http://dx.doi.org/10.1155/2021/6651493.
Pełny tekst źródłaZhimin Chen, Yi Jiang i 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, nr 9 (31.12.2010): 106–13. http://dx.doi.org/10.4156/jdcta.vol4.issue9.13.
Pełny tekst źródłaLai, Chin-Hui, Duen-Ren Liu i Cai-Sin Lin. "Novel personal and group-based trust models in collaborative filtering for document recommendation". Information Sciences 239 (sierpień 2013): 31–49. http://dx.doi.org/10.1016/j.ins.2013.03.030.
Pełny tekst źródłaHe, Wei. "Interior Design Scheme Recommendation Method Based on Improved Collaborative Filtering Algorithm". Wireless Communications and Mobile Computing 2021 (23.12.2021): 1–10. http://dx.doi.org/10.1155/2021/3834550.
Pełny tekst źródłaChaomeng, Gao, i Wang Yonggang. "Analysis of Brand Visual Design Based on Collaborative Filtering Algorithm". Discrete Dynamics in Nature and Society 2022 (13.01.2022): 1–8. http://dx.doi.org/10.1155/2022/8235966.
Pełny tekst źródłaSobha 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, nr 11 (30.11.2017): 7. http://dx.doi.org/10.23956/ijarcsse.v7i11.422.
Pełny tekst źródłaGhodousi, Elnaz, i Ali Hamzeh. "A New Approach for Trust Prediction by using collaborative filtering based of Pareto dominance in Social Networks". Ciência e Natura 37 (19.12.2015): 95. http://dx.doi.org/10.5902/2179460x20758.
Pełny tekst źródłaBanda, Latha, Karan Singh, Le Hoang Son, Mohamed Abdel-Basset, Pham Huy Thong, Hiep Xuan Huynh i David Taniar. "Recommender Systems Using Collaborative Tagging". International Journal of Data Warehousing and Mining 16, nr 3 (lipiec 2020): 183–200. http://dx.doi.org/10.4018/ijdwm.2020070110.
Pełny tekst źródłaO'DONOVAN, JOHN, i BARRY SMYTH. "MINING TRUST VALUES FROM RECOMMENDATION ERRORS". International Journal on Artificial Intelligence Tools 15, nr 06 (grudzień 2006): 945–62. http://dx.doi.org/10.1142/s0218213006003053.
Pełny tekst źródłaPaul, P. Mano, i R. Ravi. "A Collaborative Reputation-Based Vector Space Model for Email Spam Filtering". Journal of Computational and Theoretical Nanoscience 15, nr 2 (1.02.2018): 474–79. http://dx.doi.org/10.1166/jctn.2018.7128.
Pełny tekst źródłaChen, Chaochao, Xiaolin Zheng, Mengying Zhu i Litao Xiao. "Recommender System with Composite Social Trust Networks". International Journal of Web Services Research 13, nr 2 (kwiecień 2016): 56–73. http://dx.doi.org/10.4018/ijwsr.2016040104.
Pełny tekst źródłaF, Mary Harin Fernandez, Ramya S i 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, nr 01 (1.12.2020): 17–22. http://dx.doi.org/10.47812/ijamecs2010103.
Pełny tekst źródłaVictor, Patricia, Chris Cornelis, Martine De Cock i Ankur Teredesai. "A Comparative Analysis of Trust-Enhanced Recommenders for Controversial Items". Proceedings of the International AAAI Conference on Web and Social Media 3, nr 1 (20.03.2009): 342–45. http://dx.doi.org/10.1609/icwsm.v3i1.13986.
Pełny tekst źródłaLai, Chin-Hui, i Yu-Chieh Chang. "Document recommendation based on the analysis of group trust and user weightings". Journal of Information Science 45, nr 6 (4.01.2019): 845–62. http://dx.doi.org/10.1177/0165551518819973.
Pełny tekst źródłaZhang, Shuai, Wenting Yang, Song Xu i Wenyu Zhang. "A Hybrid Social Network-based Collaborative Filtering Method for Personalized Manufacturing Service Recommendation". International Journal of Computers Communications & Control 12, nr 5 (10.09.2017): 728. http://dx.doi.org/10.15837/ijccc.2017.5.2930.
Pełny tekst źródłaHsu, Ping-Yu, Jui-Yi Chung i Yu-Chin Liu. "Using the beta distribution technique to detect attacked items from collaborative filtering". Intelligent Data Analysis 25, nr 1 (26.01.2021): 121–37. http://dx.doi.org/10.3233/ida-194935.
Pełny tekst źródłaXu, 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.
Pełny tekst źródłaZhang, Xuefeng, Xiuli Chen, Dewen Seng i Xujian Fang. "A Factored Similarity Model with Trust and Social Influence for Top-N Recommendation". International Journal of Computers Communications & Control 14, nr 4 (5.08.2019): 590–607. http://dx.doi.org/10.15837/ijccc.2019.4.3577.
Pełny tekst źródłaSun, Dasong, Shuqing Li, Wenjing Yan, Fusen Jiao i 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, nr 5 (31.05.2020): 01–15. http://dx.doi.org/10.17762/ijritcc.v8i5.5382.
Pełny tekst źródłaWu, Jian, Jiali Chang, Qingwei Cao i 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 (styczeń 2019): 853–64. http://dx.doi.org/10.1016/j.cie.2018.11.020.
Pełny tekst źródła