TrustDL: Use of trust-based dictionary learning to facilitate recommendation in social networks
Collaborative filtering (CF) is a widely applied method to perform recommendation tasks in a wide range of domains and applications. Dictionary learning (DL) models, which are highly important in CF-based recommender systems (RSs), are well represented by rating matrices. However, these methods alon...
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| Published in | Expert systems with applications Vol. 228; p. 120487 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Ltd
15.10.2023
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| Subjects | |
| Online Access | Get full text |
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| Abstract | Collaborative filtering (CF) is a widely applied method to perform recommendation tasks in a wide range of domains and applications. Dictionary learning (DL) models, which are highly important in CF-based recommender systems (RSs), are well represented by rating matrices. However, these methods alone do not resolve the cold start and data sparsity issues in RSs. We observed a significant improvement in rating results by adding trust information on the social network. For that purpose, we proposed a new dictionary learning technique based on trust information, called TrustDL, where the social network data were employed in the process of recommendation based on structural details on the trusted network. TrustDL sought to integrate the sources of information, including trust statements and ratings, into the recommendation model to mitigate both problems of cold start and data sparsity. It conducted dictionary learning and trust embedding simultaneously to predict unknown rating values. In this paper, the dictionary learning technique was integrated into rating learning, along with the trust consistency regularization term designed to offer a more accurate understanding of the feature representation. Moreover, partially identical trust embedding was developed, where users with similar rating sets could cluster together, and those with similar rating sets could be represented collaboratively. The proposed strategy appears significantly beneficial based on experiments conducted on four frequently used datasets: Epinions, Ciao, FilmTrust, and Flixster. |
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| AbstractList | Collaborative filtering (CF) is a widely applied method to perform recommendation tasks in a wide range of domains and applications. Dictionary learning (DL) models, which are highly important in CF-based recommender systems (RSs), are well represented by rating matrices. However, these methods alone do not resolve the cold start and data sparsity issues in RSs. We observed a significant improvement in rating results by adding trust information on the social network. For that purpose, we proposed a new dictionary learning technique based on trust information, called TrustDL, where the social network data were employed in the process of recommendation based on structural details on the trusted network. TrustDL sought to integrate the sources of information, including trust statements and ratings, into the recommendation model to mitigate both problems of cold start and data sparsity. It conducted dictionary learning and trust embedding simultaneously to predict unknown rating values. In this paper, the dictionary learning technique was integrated into rating learning, along with the trust consistency regularization term designed to offer a more accurate understanding of the feature representation. Moreover, partially identical trust embedding was developed, where users with similar rating sets could cluster together, and those with similar rating sets could be represented collaboratively. The proposed strategy appears significantly beneficial based on experiments conducted on four frequently used datasets: Epinions, Ciao, FilmTrust, and Flixster. |
| ArticleNumber | 120487 |
| Author | Abualigah, Laith Khaledian, Navid Javaheri, Danial Nazari, Amin Khamforoosh, Keyhan |
| Author_xml | – sequence: 1 givenname: Navid orcidid: 0000-0003-3018-2821 surname: Khaledian fullname: Khaledian, Navid email: navid.khaledian@iausdj.ac.ir organization: Department of Computer Engineering, Sanandaj Branch, Islamic Azad University, Sanandaj, Iran – sequence: 2 givenname: Amin orcidid: 0000-0003-0455-0141 surname: Nazari fullname: Nazari, Amin email: aminnazari91@gmail.com organization: Department of Computer Engineering, Bu-Ali Sina University, Hamedan, Iran – sequence: 3 givenname: Keyhan orcidid: 0000-0003-0792-0523 surname: Khamforoosh fullname: Khamforoosh, Keyhan email: k.khamforoosh@iausdj.ac.ir organization: Department of Computer Engineering, Sanandaj Branch, Islamic Azad University, Sanandaj, Iran – sequence: 4 givenname: Laith orcidid: 0000-0002-2203-4549 surname: Abualigah fullname: Abualigah, Laith email: aligah.2020@gmail.com organization: Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman 19328, Jordan – sequence: 5 givenname: Danial orcidid: 0000-0002-7275-2370 surname: Javaheri fullname: Javaheri, Danial email: javaheri@chosun.ac.kr organization: Department of Computer Engineering, Chosun University, Gwangju 61452, Republic of Korea |
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| Cites_doi | 10.1016/j.engappai.2021.104325 10.1609/aaai.v29i1.9153 10.1109/TPAMI.2016.2605085 10.1016/j.inffus.2021.04.001 10.1007/978-981-16-5747-4_12 10.1016/j.knosys.2018.12.016 10.1016/j.eswa.2021.115849 10.1145/1401890.1401944 10.1016/j.neucom.2018.01.011 10.1038/nature25988 10.1007/s10115-021-01628-7 10.1016/j.eswa.2018.09.045 10.1016/j.physa.2018.04.089 10.1007/s11042-020-09949-5 10.1371/journal.pone.0220129 10.1109/TIP.2016.2549459 10.1109/ACCESS.2018.2885084 10.1016/j.ymssp.2021.108796 10.1016/j.jpdc.2017.10.003 10.1109/TII.2014.2308433 10.1007/s10489-020-02023-5 10.1109/TIP.2018.2810515 10.1016/j.ins.2021.06.026 10.1142/S021962202350030X 10.1145/3582493 10.1016/j.eswa.2016.05.021 10.1016/j.eswa.2021.116042 10.1016/j.eswa.2021.114783 10.1016/j.eswa.2020.113685 10.1016/j.eswa.2020.113346 10.1016/j.ipm.2020.102310 10.1145/1864708.1864736 10.1016/j.ins.2018.07.060 10.1016/j.knosys.2016.10.025 10.1007/s10115-018-1157-2 10.1007/s11042-015-2732-0 10.1016/j.eswa.2020.114294 10.1016/j.eswa.2020.113290 10.1002/sam.11542 10.1016/j.jksuci.2021.12.021 10.1007/s10844-020-00613-w 10.1016/j.knosys.2021.106794 10.1109/TSP.2015.2432731 |
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| Keywords | Sparse representation Trust relationship Recommender systems Dictionary learning Machine learning |
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| References | 426-434. Zhou, Du, Lü, Wang (b0260) 2021; 174 Feng, Wu, Tang, Li (b0060) 2018; 284 Li, Li, An, Zheng, Li (b0150) 2019; 496 Jing, Wu, Li, Hu, Zhang (b0110) 2016; 25 Li, Mo, Xin, Jin (b0160) 2018; 118 Talmon, Mallat, Zaveri, Coifman (b0235) 2015; 63 Rodpysh, Mirabedini, Banirostam (b0225) 2021 Wang, Yan, Nie, Yan, Sebe (b0245) 2018; 27 Zhang, Qi, Liu, Mao, Zeng (b0255) 2020; 149 135-142. Rashidi, Khamforoosh, Sheikhahmadi (b0220) 2021 Livne, Tov, Solomon, Elyasaf, Shapira, Rokach (b0175) 2022; 189 Papadakis, Papagrigoriou, Panagiotakis, Kosmas, Fragopoulou (b0195) 2022; 64 Guo, Zhou, Zhang, Song, Chen (b0090) 2021; 74 Kiran, Kumar, Bhasker (b0125) 2020; 144 Kartoglu, Spratling (b0115) 2018; 57 Parvin, Moradi, Esmaeili (b0200) 2019; 118 Nazari, Kordabadi, Mansoorizadeh (b0190) 2023; 22 Li, Zhou, Shimizu, Xin, Jiang, Gao, Jin (b0170) 2019; 7 Du, Zhang, Ma, Zhang (b0055) 2021; 216 Khaledian, Mardukhi (b0120) 2022 Koren, Y. (2008). Factorization meets the neighborhood: a multifaceted collaborative filtering model. Ar, Bostanci (b0020) 2016; 61 Jakomin, Bosnić, Curk (b0095) 2020; 160 Permiakova, Burger (b0210) 2022; 15 Li, Tao, Ding, Zhang, Meng (b0155) 2022; 169 Forouzandeh, Rostami, Berahmand (b0075) 2022 Ayub, Ghazanfar, Mehmood, Saba, Alharbey, Munshi, Alrige (b0025) 2019; 14 Qi, Yue, Duan, Wang, Qiao, Fu (b0215) 2021; 169 Lee, Kim, Lebanon, Singer (b0145) 2013 Amestoy, P., Buttari, A., Higham, N., l'Excellent, J.-Y., Mary, T., & Vieuble, B. (2022). Combining sparse approximate factorizations with mixed precision iterative refinement, 49(1), 1–29. Guo, G., Zhang, J., & Yorke-Smith, N. (2015). Trustsvd: Collaborative filtering with both the explicit and implicit influence of user trust and of item ratings. Kordabadi, Nazari, Mansoorizadeh (b0130) 2022; 5 Chen, Xu, Wang, Feng, Feng (b0045) 2020; 148 Wang, Zhu, Dai, Xu, Gao (b0240) 2021; 51 Behera, G., & Nain, N. (2022b). Trade-off between memory and model-based collaborative filtering recommender system. 29(1), 123-129. Luo, Zhou, Xia, Zhu (b0180) 2014; 10 Tahmasbi, Jalali, Shakeri (b0230) 2021; 56 Azadjalal, Moradi, Abdollahpouri, Jalili (b0030) 2017; 116 Forouzandeh, Rostami, Berahmand (b0070) 2021; 104 Alhijawi, Kilani (b0010) 2020; 57 Zhu, Liu, Cauley, Rosen, Rosen (b0265) 2018; 555 Mnih, Salakhutdinov (b0185) 2008; 20 Ahmadian, Joorabloo, Jalili, Ahmadian (b0005) 2022; 187 Yang, Lei, Liu, Li (b0250) 2016; 39 Chen, Gao (b0050) 2018; 506 Parvin, Moradi, Esmaeili, Qader (b0205) 2019; 166 Kuo, Chen, Keng (b0140) 2021; 575 137-146. Javaheri, Gorgin, Lee, Masdari (b0105) 2022; 36 Li, Ye, Xin, Jin (b0165) 2017; 76 Forouzandeh, Berahmand, Rostami (b0065) 2021; 80 Behera, Nain (b0035) 2022; 34 Geluvaraj, Sundaram (b0080) 2022 Jamali, M., & Ester, M. (2010). A matrix factorization technique with trust propagation for recommendation in social networks. Guo (10.1016/j.eswa.2023.120487_b0090) 2021; 74 Parvin (10.1016/j.eswa.2023.120487_b0200) 2019; 118 Zhu (10.1016/j.eswa.2023.120487_b0265) 2018; 555 10.1016/j.eswa.2023.120487_b0135 Azadjalal (10.1016/j.eswa.2023.120487_b0030) 2017; 116 Parvin (10.1016/j.eswa.2023.120487_b0205) 2019; 166 Forouzandeh (10.1016/j.eswa.2023.120487_b0070) 2021; 104 Li (10.1016/j.eswa.2023.120487_b0155) 2022; 169 10.1016/j.eswa.2023.120487_b0015 Kuo (10.1016/j.eswa.2023.120487_b0140) 2021; 575 Talmon (10.1016/j.eswa.2023.120487_b0235) 2015; 63 Papadakis (10.1016/j.eswa.2023.120487_b0195) 2022; 64 Tahmasbi (10.1016/j.eswa.2023.120487_b0230) 2021; 56 Chen (10.1016/j.eswa.2023.120487_b0050) 2018; 506 Luo (10.1016/j.eswa.2023.120487_b0180) 2014; 10 Nazari (10.1016/j.eswa.2023.120487_b0190) 2023; 22 Chen (10.1016/j.eswa.2023.120487_b0045) 2020; 148 Lee (10.1016/j.eswa.2023.120487_b0145) 2013 Wang (10.1016/j.eswa.2023.120487_b0240) 2021; 51 Khaledian (10.1016/j.eswa.2023.120487_b0120) 2022 Li (10.1016/j.eswa.2023.120487_b0165) 2017; 76 Alhijawi (10.1016/j.eswa.2023.120487_b0010) 2020; 57 Du (10.1016/j.eswa.2023.120487_b0055) 2021; 216 Wang (10.1016/j.eswa.2023.120487_b0245) 2018; 27 Jakomin (10.1016/j.eswa.2023.120487_b0095) 2020; 160 Kiran (10.1016/j.eswa.2023.120487_b0125) 2020; 144 Ar (10.1016/j.eswa.2023.120487_b0020) 2016; 61 Li (10.1016/j.eswa.2023.120487_b0170) 2019; 7 Kartoglu (10.1016/j.eswa.2023.120487_b0115) 2018; 57 Zhang (10.1016/j.eswa.2023.120487_b0255) 2020; 149 Qi (10.1016/j.eswa.2023.120487_b0215) 2021; 169 Li (10.1016/j.eswa.2023.120487_b0150) 2019; 496 Mnih (10.1016/j.eswa.2023.120487_b0185) 2008; 20 Permiakova (10.1016/j.eswa.2023.120487_b0210) 2022; 15 Feng (10.1016/j.eswa.2023.120487_b0060) 2018; 284 Livne (10.1016/j.eswa.2023.120487_b0175) 2022; 189 Rodpysh (10.1016/j.eswa.2023.120487_b0225) 2021 10.1016/j.eswa.2023.120487_b0040 Zhou (10.1016/j.eswa.2023.120487_b0260) 2021; 174 10.1016/j.eswa.2023.120487_b0085 Javaheri (10.1016/j.eswa.2023.120487_b0105) 2022; 36 Forouzandeh (10.1016/j.eswa.2023.120487_b0065) 2021; 80 Rashidi (10.1016/j.eswa.2023.120487_b0220) 2021 10.1016/j.eswa.2023.120487_b0100 Li (10.1016/j.eswa.2023.120487_b0160) 2018; 118 Ahmadian (10.1016/j.eswa.2023.120487_b0005) 2022; 187 Kordabadi (10.1016/j.eswa.2023.120487_b0130) 2022; 5 Behera (10.1016/j.eswa.2023.120487_b0035) 2022; 34 Forouzandeh (10.1016/j.eswa.2023.120487_b0075) 2022 Yang (10.1016/j.eswa.2023.120487_b0250) 2016; 39 Geluvaraj (10.1016/j.eswa.2023.120487_b0080) 2022 Jing (10.1016/j.eswa.2023.120487_b0110) 2016; 25 Ayub (10.1016/j.eswa.2023.120487_b0025) 2019; 14 |
| References_xml | – volume: 39 start-page: 1633 year: 2016 end-page: 1647 ident: b0250 article-title: Social collaborative filtering by trust publication-title: IEEE Transactions on Pattern Analysis and Machine Intelligence – start-page: 1 year: 2022 end-page: 17 ident: b0120 article-title: CFMT: A collaborative filtering approach based on the nonnegative matrix factorization technique and trust relationships publication-title: Journal of Ambient Intelligence and Humanized Computing – volume: 104 year: 2021 ident: b0070 article-title: Presentation a Trust Walker for rating prediction in recommender system with Biased Random Walk: Effects of H-index centrality, similarity in items and friends publication-title: Engineering Applications of Artificial Intelligence – volume: 555 start-page: 487 year: 2018 end-page: 492 ident: b0265 article-title: Image reconstruction by domain-transform manifold learning publication-title: Nature – volume: 216 year: 2021 ident: b0055 article-title: Structured discriminant analysis dictionary learning for pattern classification publication-title: Knowledge-Based Systems – volume: 496 start-page: 464 year: 2019 end-page: 484 ident: b0150 article-title: An efficient manifold regularized sparse non-negative matrix factorization model for large-scale recommender systems on GPUs publication-title: Information Sciences – reference: Guo, G., Zhang, J., & Yorke-Smith, N. (2015). Trustsvd: Collaborative filtering with both the explicit and implicit influence of user trust and of item ratings. – volume: 14 year: 2019 ident: b0025 article-title: Modeling user rating preference behavior to improve the performance of the collaborative filtering based recommender systems publication-title: PloS One – volume: 116 start-page: 130 year: 2017 end-page: 143 ident: b0030 article-title: A trust-aware recommendation method based on Pareto dominance and confidence concepts publication-title: Knowledge-Based Systems – volume: 74 start-page: 87 year: 2021 end-page: 95 ident: b0090 article-title: Trust-aware recommendation based on heterogeneous multi-relational graphs fusion publication-title: Information Fusion – volume: 57 start-page: 709 year: 2018 end-page: 720 ident: b0115 article-title: Two collaborative filtering recommender systems based on sparse dictionary coding publication-title: Knowledge and Information Systems – volume: 187 year: 2022 ident: b0005 article-title: Alleviating data sparsity problem in time-aware recommender systems using a reliable rating profile enrichment approach publication-title: Expert Systems with Applications – volume: 118 start-page: 152 year: 2019 end-page: 168 ident: b0200 article-title: TCFACO: Trust-aware collaborative filtering method based on ant colony optimization publication-title: Expert Systems with Applications – volume: 27 start-page: 2664 year: 2018 end-page: 2675 ident: b0245 article-title: Flexible manifold learning with optimal graph for image and video representation publication-title: IEEE Transactions on Image Processing – start-page: 499 year: 2022 end-page: 510 ident: b0080 article-title: A hybrid approach to resolve data sparsity and cold start hassle in recommender systems publication-title: Pervasive Computing and Social Networking – reference: , 137-146. – volume: 22 start-page: 1 year: 2023 end-page: 22 ident: b0190 article-title: Scalable and data-independent multi-agent recommender system using social networks analysis publication-title: International Journal of Information Technology & Decision Making – volume: 284 start-page: 128 year: 2018 end-page: 137 ident: b0060 article-title: Sparse latent model with dual graph regularization for collaborative filtering publication-title: Neurocomputing – volume: 174 year: 2021 ident: b0260 article-title: A network-based sparse and multi-manifold regularized multiple non-negative matrix factorization for multi-view clustering publication-title: Expert Systems with Applications – volume: 61 start-page: 122 year: 2016 end-page: 128 ident: b0020 article-title: A genetic algorithm solution to the collaborative filtering problem publication-title: Expert Systems with Applications – volume: 5 start-page: 19 year: 2022 end-page: 28 ident: b0130 article-title: A movie recommender system based on topic modeling using machine learning methods publication-title: International Journal of Web Research – volume: 160 year: 2020 ident: b0095 article-title: Simultaneous incremental matrix factorization for streaming recommender systems publication-title: Expert Systems with Applications – volume: 506 start-page: 679 year: 2018 end-page: 691 ident: b0050 article-title: A trust-based recommendation method using network diffusion processes publication-title: Physica A: Statistical Mechanics and its Applications – reference: , 135-142. – reference: Koren, Y. (2008). Factorization meets the neighborhood: a multifaceted collaborative filtering model. – reference: Amestoy, P., Buttari, A., Higham, N., l'Excellent, J.-Y., Mary, T., & Vieuble, B. (2022). Combining sparse approximate factorizations with mixed precision iterative refinement, 49(1), 1–29. – start-page: 1 year: 2022 end-page: 25 ident: b0075 article-title: A hybrid method for recommendation systems based on tourism with an evolutionary algorithm and Topsis model publication-title: Fuzzy Information and Engineering – volume: 169 year: 2022 ident: b0155 article-title: Period-assisted adaptive parameterized wavelet dictionary and its sparse representation for periodic transient features of rolling bearing faults publication-title: Mechanical Systems and Signal Processing – volume: 25 start-page: 2712 year: 2016 end-page: 2725 ident: b0110 article-title: Multi-label dictionary learning for image annotation publication-title: IEEE Transactions on Image Processing – volume: 36 year: 2022 ident: b0105 article-title: An improved discrete harris hawk optimization algorithm for efficient workflow scheduling in multi-fog computing publication-title: Sustainable Computing: Informatics and Systems – start-page: 82 year: 2013 end-page: 90 ident: b0145 article-title: Local low-rank matrix approximation publication-title: International Conference on Machine Learning – volume: 118 start-page: 81 year: 2018 end-page: 88 ident: b0160 article-title: An Optimized trust model integrated with linear features for cyber-enabled recommendation services publication-title: Journal of Parallel and Distributed Computing – volume: 166 start-page: 92 year: 2019 end-page: 107 ident: b0205 article-title: A scalable and robust trust-based nonnegative matrix factorization recommender using the alternating direction method publication-title: Knowledge-Based Systems – volume: 51 start-page: 3435 year: 2021 end-page: 3449 ident: b0240 article-title: Low-rank and sparse matrix factorization with prior relations for recommender systems publication-title: Applied Intelligence – volume: 34 start-page: 9953 year: 2022 end-page: 9963 ident: b0035 article-title: Handling data sparsity via item metadata embedding into deep collaborative recommender system publication-title: Journal of King Saud University-Computer and Information Sciences – volume: 15 start-page: 43 year: 2022 end-page: 56 ident: b0210 article-title: Sketched Stochastic Dictionary Learning for large-scale data and application to high-throughput mass spectrometry publication-title: Statistical Analysis and Data Mining: The ASA Data Science Journal – reference: , 29(1), 123-129. – reference: , 426-434. – volume: 56 start-page: 169 year: 2021 end-page: 187 ident: b0230 article-title: TSCMF: Temporal and social collective matrix factorization model for recommender systems publication-title: Journal of Intelligent Information Systems – volume: 10 start-page: 1273 year: 2014 end-page: 1284 ident: b0180 article-title: An efficient non-negative matrix-factorization-based approach to collaborative filtering for recommender systems publication-title: IEEE Transactions on Industrial Informatics – volume: 64 start-page: 35 year: 2022 end-page: 74 ident: b0195 article-title: Collaborative filtering recommender systems taxonomy publication-title: Knowledge and Information Systems – volume: 20 start-page: 1257 year: 2008 end-page: 1264 ident: b0185 article-title: Probabilistic matrix factorization publication-title: Advances in Neural Information Processing Systems – volume: 149 year: 2020 ident: b0255 article-title: Alleviating the data sparsity problem of recommender systems by clustering nodes in bipartite networks publication-title: Expert Systems with Applications – volume: 575 start-page: 90 year: 2021 end-page: 115 ident: b0140 article-title: Application of hybrid metaheuristic with perturbation-based K-nearest neighbors algorithm and densest imputation to collaborative filtering in recommender systems publication-title: Information Sciences – volume: 7 start-page: 45451 year: 2019 end-page: 45459 ident: b0170 article-title: Personalization recommendation algorithm based on trust correlation degree and matrix factorization publication-title: IEEE Access – volume: 169 year: 2021 ident: b0215 article-title: Matrix factorization based Bayesian network embedding for efficient probabilistic inferences publication-title: Expert Systems with Applications – volume: 63 start-page: 3843 year: 2015 end-page: 3856 ident: b0235 article-title: Manifold learning for latent variable inference in dynamical systems publication-title: IEEE Transactions on Signal Processing – reference: Jamali, M., & Ester, M. (2010). A matrix factorization technique with trust propagation for recommendation in social networks. – volume: 189 year: 2022 ident: b0175 article-title: Evolving context-aware recommender systems with users in mind publication-title: Expert Systems with Applications – start-page: 1 year: 2021 end-page: 26 ident: b0220 article-title: Proposing improved meta-heuristic algorithms for clustering and separating users in the recommender systems publication-title: Electronic Commerce Research – reference: Behera, G., & Nain, N. (2022b). Trade-off between memory and model-based collaborative filtering recommender system. – volume: 80 start-page: 7805 year: 2021 end-page: 7832 ident: b0065 article-title: Presentation of a recommender system with ensemble learning and graph embedding: A case on MovieLens publication-title: Multimedia Tools and Applications – volume: 144 year: 2020 ident: b0125 article-title: DNNRec: A novel deep learning based hybrid recommender system publication-title: Expert Systems with Applications – volume: 148 year: 2020 ident: b0045 article-title: Nonnegative matrix factorization for link prediction in directed complex networks using PageRank and asymmetric link clustering information publication-title: Expert Systems with Applications – volume: 57 year: 2020 ident: b0010 article-title: A collaborative filtering recommender system using genetic algorithm publication-title: Information Processing & Management – start-page: 1 year: 2021 end-page: 27 ident: b0225 article-title: Employing singular value decomposition and similarity criteria for alleviating cold start and sparse data in context-aware recommender systems publication-title: Electronic Commerce Research – volume: 76 start-page: 11585 year: 2017 end-page: 11602 ident: b0165 article-title: Social recommendation based on trust and influence in SNS environments publication-title: Multimedia Tools and Applications – volume: 104 year: 2021 ident: 10.1016/j.eswa.2023.120487_b0070 article-title: Presentation a Trust Walker for rating prediction in recommender system with Biased Random Walk: Effects of H-index centrality, similarity in items and friends publication-title: Engineering Applications of Artificial Intelligence doi: 10.1016/j.engappai.2021.104325 – start-page: 1 year: 2021 ident: 10.1016/j.eswa.2023.120487_b0225 article-title: Employing singular value decomposition and similarity criteria for alleviating cold start and sparse data in context-aware recommender systems publication-title: Electronic Commerce Research – ident: 10.1016/j.eswa.2023.120487_b0085 doi: 10.1609/aaai.v29i1.9153 – volume: 39 start-page: 1633 issue: 8 year: 2016 ident: 10.1016/j.eswa.2023.120487_b0250 article-title: Social collaborative filtering by trust publication-title: IEEE Transactions on Pattern Analysis and Machine Intelligence doi: 10.1109/TPAMI.2016.2605085 – volume: 74 start-page: 87 year: 2021 ident: 10.1016/j.eswa.2023.120487_b0090 article-title: Trust-aware recommendation based on heterogeneous multi-relational graphs fusion publication-title: Information Fusion doi: 10.1016/j.inffus.2021.04.001 – ident: 10.1016/j.eswa.2023.120487_b0040 doi: 10.1007/978-981-16-5747-4_12 – volume: 166 start-page: 92 year: 2019 ident: 10.1016/j.eswa.2023.120487_b0205 article-title: A scalable and robust trust-based nonnegative matrix factorization recommender using the alternating direction method publication-title: Knowledge-Based Systems doi: 10.1016/j.knosys.2018.12.016 – volume: 187 year: 2022 ident: 10.1016/j.eswa.2023.120487_b0005 article-title: Alleviating data sparsity problem in time-aware recommender systems using a reliable rating profile enrichment approach publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2021.115849 – start-page: 1 year: 2022 ident: 10.1016/j.eswa.2023.120487_b0075 article-title: A hybrid method for recommendation systems based on tourism with an evolutionary algorithm and Topsis model publication-title: Fuzzy Information and Engineering – ident: 10.1016/j.eswa.2023.120487_b0135 doi: 10.1145/1401890.1401944 – volume: 144 year: 2020 ident: 10.1016/j.eswa.2023.120487_b0125 article-title: DNNRec: A novel deep learning based hybrid recommender system publication-title: Expert Systems with Applications – volume: 284 start-page: 128 year: 2018 ident: 10.1016/j.eswa.2023.120487_b0060 article-title: Sparse latent model with dual graph regularization for collaborative filtering publication-title: Neurocomputing doi: 10.1016/j.neucom.2018.01.011 – volume: 555 start-page: 487 issue: 7697 year: 2018 ident: 10.1016/j.eswa.2023.120487_b0265 article-title: Image reconstruction by domain-transform manifold learning publication-title: Nature doi: 10.1038/nature25988 – volume: 64 start-page: 35 issue: 1 year: 2022 ident: 10.1016/j.eswa.2023.120487_b0195 article-title: Collaborative filtering recommender systems taxonomy publication-title: Knowledge and Information Systems doi: 10.1007/s10115-021-01628-7 – volume: 118 start-page: 152 year: 2019 ident: 10.1016/j.eswa.2023.120487_b0200 article-title: TCFACO: Trust-aware collaborative filtering method based on ant colony optimization publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2018.09.045 – volume: 506 start-page: 679 year: 2018 ident: 10.1016/j.eswa.2023.120487_b0050 article-title: A trust-based recommendation method using network diffusion processes publication-title: Physica A: Statistical Mechanics and its Applications doi: 10.1016/j.physa.2018.04.089 – volume: 80 start-page: 7805 issue: 5 year: 2021 ident: 10.1016/j.eswa.2023.120487_b0065 article-title: Presentation of a recommender system with ensemble learning and graph embedding: A case on MovieLens publication-title: Multimedia Tools and Applications doi: 10.1007/s11042-020-09949-5 – volume: 14 issue: 8 year: 2019 ident: 10.1016/j.eswa.2023.120487_b0025 article-title: Modeling user rating preference behavior to improve the performance of the collaborative filtering based recommender systems publication-title: PloS One doi: 10.1371/journal.pone.0220129 – volume: 25 start-page: 2712 issue: 6 year: 2016 ident: 10.1016/j.eswa.2023.120487_b0110 article-title: Multi-label dictionary learning for image annotation publication-title: IEEE Transactions on Image Processing doi: 10.1109/TIP.2016.2549459 – volume: 7 start-page: 45451 year: 2019 ident: 10.1016/j.eswa.2023.120487_b0170 article-title: Personalization recommendation algorithm based on trust correlation degree and matrix factorization publication-title: IEEE Access doi: 10.1109/ACCESS.2018.2885084 – volume: 20 start-page: 1257 year: 2008 ident: 10.1016/j.eswa.2023.120487_b0185 article-title: Probabilistic matrix factorization publication-title: Advances in Neural Information Processing Systems – volume: 5 start-page: 19 issue: 2 year: 2022 ident: 10.1016/j.eswa.2023.120487_b0130 article-title: A movie recommender system based on topic modeling using machine learning methods publication-title: International Journal of Web Research – volume: 169 year: 2022 ident: 10.1016/j.eswa.2023.120487_b0155 article-title: Period-assisted adaptive parameterized wavelet dictionary and its sparse representation for periodic transient features of rolling bearing faults publication-title: Mechanical Systems and Signal Processing doi: 10.1016/j.ymssp.2021.108796 – volume: 118 start-page: 81 year: 2018 ident: 10.1016/j.eswa.2023.120487_b0160 article-title: An Optimized trust model integrated with linear features for cyber-enabled recommendation services publication-title: Journal of Parallel and Distributed Computing doi: 10.1016/j.jpdc.2017.10.003 – volume: 10 start-page: 1273 issue: 2 year: 2014 ident: 10.1016/j.eswa.2023.120487_b0180 article-title: An efficient non-negative matrix-factorization-based approach to collaborative filtering for recommender systems publication-title: IEEE Transactions on Industrial Informatics doi: 10.1109/TII.2014.2308433 – volume: 51 start-page: 3435 year: 2021 ident: 10.1016/j.eswa.2023.120487_b0240 article-title: Low-rank and sparse matrix factorization with prior relations for recommender systems publication-title: Applied Intelligence doi: 10.1007/s10489-020-02023-5 – volume: 27 start-page: 2664 issue: 6 year: 2018 ident: 10.1016/j.eswa.2023.120487_b0245 article-title: Flexible manifold learning with optimal graph for image and video representation publication-title: IEEE Transactions on Image Processing doi: 10.1109/TIP.2018.2810515 – start-page: 499 year: 2022 ident: 10.1016/j.eswa.2023.120487_b0080 article-title: A hybrid approach to resolve data sparsity and cold start hassle in recommender systems – volume: 575 start-page: 90 year: 2021 ident: 10.1016/j.eswa.2023.120487_b0140 article-title: Application of hybrid metaheuristic with perturbation-based K-nearest neighbors algorithm and densest imputation to collaborative filtering in recommender systems publication-title: Information Sciences doi: 10.1016/j.ins.2021.06.026 – volume: 22 start-page: 1 issue: 4 year: 2023 ident: 10.1016/j.eswa.2023.120487_b0190 article-title: Scalable and data-independent multi-agent recommender system using social networks analysis publication-title: International Journal of Information Technology & Decision Making doi: 10.1142/S021962202350030X – ident: 10.1016/j.eswa.2023.120487_b0015 doi: 10.1145/3582493 – volume: 61 start-page: 122 year: 2016 ident: 10.1016/j.eswa.2023.120487_b0020 article-title: A genetic algorithm solution to the collaborative filtering problem publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2016.05.021 – volume: 189 year: 2022 ident: 10.1016/j.eswa.2023.120487_b0175 article-title: Evolving context-aware recommender systems with users in mind publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2021.116042 – start-page: 1 year: 2021 ident: 10.1016/j.eswa.2023.120487_b0220 article-title: Proposing improved meta-heuristic algorithms for clustering and separating users in the recommender systems publication-title: Electronic Commerce Research – volume: 174 year: 2021 ident: 10.1016/j.eswa.2023.120487_b0260 article-title: A network-based sparse and multi-manifold regularized multiple non-negative matrix factorization for multi-view clustering publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2021.114783 – volume: 160 year: 2020 ident: 10.1016/j.eswa.2023.120487_b0095 article-title: Simultaneous incremental matrix factorization for streaming recommender systems publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2020.113685 – volume: 149 year: 2020 ident: 10.1016/j.eswa.2023.120487_b0255 article-title: Alleviating the data sparsity problem of recommender systems by clustering nodes in bipartite networks publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2020.113346 – volume: 57 issue: 6 year: 2020 ident: 10.1016/j.eswa.2023.120487_b0010 article-title: A collaborative filtering recommender system using genetic algorithm publication-title: Information Processing & Management doi: 10.1016/j.ipm.2020.102310 – ident: 10.1016/j.eswa.2023.120487_b0100 doi: 10.1145/1864708.1864736 – volume: 496 start-page: 464 year: 2019 ident: 10.1016/j.eswa.2023.120487_b0150 article-title: An efficient manifold regularized sparse non-negative matrix factorization model for large-scale recommender systems on GPUs publication-title: Information Sciences doi: 10.1016/j.ins.2018.07.060 – volume: 116 start-page: 130 year: 2017 ident: 10.1016/j.eswa.2023.120487_b0030 article-title: A trust-aware recommendation method based on Pareto dominance and confidence concepts publication-title: Knowledge-Based Systems doi: 10.1016/j.knosys.2016.10.025 – volume: 57 start-page: 709 issue: 3 year: 2018 ident: 10.1016/j.eswa.2023.120487_b0115 article-title: Two collaborative filtering recommender systems based on sparse dictionary coding publication-title: Knowledge and Information Systems doi: 10.1007/s10115-018-1157-2 – volume: 76 start-page: 11585 issue: 9 year: 2017 ident: 10.1016/j.eswa.2023.120487_b0165 article-title: Social recommendation based on trust and influence in SNS environments publication-title: Multimedia Tools and Applications doi: 10.1007/s11042-015-2732-0 – volume: 169 year: 2021 ident: 10.1016/j.eswa.2023.120487_b0215 article-title: Matrix factorization based Bayesian network embedding for efficient probabilistic inferences publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2020.114294 – volume: 36 year: 2022 ident: 10.1016/j.eswa.2023.120487_b0105 article-title: An improved discrete harris hawk optimization algorithm for efficient workflow scheduling in multi-fog computing publication-title: Sustainable Computing: Informatics and Systems – volume: 148 year: 2020 ident: 10.1016/j.eswa.2023.120487_b0045 article-title: Nonnegative matrix factorization for link prediction in directed complex networks using PageRank and asymmetric link clustering information publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2020.113290 – volume: 15 start-page: 43 issue: 1 year: 2022 ident: 10.1016/j.eswa.2023.120487_b0210 article-title: Sketched Stochastic Dictionary Learning for large-scale data and application to high-throughput mass spectrometry publication-title: Statistical Analysis and Data Mining: The ASA Data Science Journal doi: 10.1002/sam.11542 – start-page: 1 year: 2022 ident: 10.1016/j.eswa.2023.120487_b0120 article-title: CFMT: A collaborative filtering approach based on the nonnegative matrix factorization technique and trust relationships publication-title: Journal of Ambient Intelligence and Humanized Computing – volume: 34 start-page: 9953 issue: 10 year: 2022 ident: 10.1016/j.eswa.2023.120487_b0035 article-title: Handling data sparsity via item metadata embedding into deep collaborative recommender system publication-title: Journal of King Saud University-Computer and Information Sciences doi: 10.1016/j.jksuci.2021.12.021 – start-page: 82 year: 2013 ident: 10.1016/j.eswa.2023.120487_b0145 article-title: Local low-rank matrix approximation publication-title: International Conference on Machine Learning – volume: 56 start-page: 169 issue: 1 year: 2021 ident: 10.1016/j.eswa.2023.120487_b0230 article-title: TSCMF: Temporal and social collective matrix factorization model for recommender systems publication-title: Journal of Intelligent Information Systems doi: 10.1007/s10844-020-00613-w – volume: 216 year: 2021 ident: 10.1016/j.eswa.2023.120487_b0055 article-title: Structured discriminant analysis dictionary learning for pattern classification publication-title: Knowledge-Based Systems doi: 10.1016/j.knosys.2021.106794 – volume: 63 start-page: 3843 issue: 15 year: 2015 ident: 10.1016/j.eswa.2023.120487_b0235 article-title: Manifold learning for latent variable inference in dynamical systems publication-title: IEEE Transactions on Signal Processing doi: 10.1109/TSP.2015.2432731 |
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