A new uncertainty-aware similarity for user-based collaborative filtering
Khadidja Belmessous; Faouzi Sebbak; M'hamed Mataoui; Walid Cherifi
Kybernetika (2024)
- Volume: 60, Issue: 4, page 446-474
- ISSN: 0023-5954
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top- al., Ch. C. Aggarwal et, Recommender systems, volume 1., 2016.
- Aherne, F. J., Thacker, N. A., Rockett, P. I., , Kybernetika 34 (1998), 4, 363-368. MR1658937DOI
- Ahn, H. J., , Inform. Sci. 178 (2008), 1, 37-51. DOI
- Al-Bashiri, H., Abdulgabber, M. A., Romli, A., Kahtan, H., , PloS one 13 (2018), 10. e0204434. DOI
- Amer, A. A, Abdalla, H. I., Nguyen, L., , Knowledge-Based Systems 217 (2021), 106842. DOI
- Anand, P. B., Nath, R., Content-based recommender systems., In: Recommender System with Machine Learning and Artificial Intelligence: Practical Tools and Applications in Medical, Agricultural and Other Industries. 2020, pp. 165-195.
- Ar, Y., Amrahov, Ş. E., Gasilov, N. A., Y.-Sert, S., , Kybernetika 58 (2022), 3, 440-455. DOI
- Belmessous, K., Sebbak, F., Batouche, A., al., et, , In: International Conference on Computing Systems and Applications, Springer 2022, 51-60. DOI
- Chen, M., Liu, P., , Int. J. Performability Engrg. 13 (2017), 8, 1246. DOI
- Dewi, R. K., Widodo, A. W., Sari, Y. A., Aziz, N. I. M., Rank consistency of topsis in mobile based recommendation system., In: Proc. 5th International Conference on Sustainable Information Engineering and Technology, ACM Digital Library 2020, pp. 107-112.
- Feng, J., Fengs, X., Zhang, N., Peng, J., , PLoS One 13 (2018), 9, e0204003. DOI
- Fkih, Fethi, Similarity measures for collaborative filtering-based recommender systems: Review and experimental comparison., Journal of King Saud University-Computer and Information Sciences, 2021.
- Forouzandeh, S., Rostami, M., Berahmand, K., , Fuzzy Inform. Engrg. 14 (2022), 1, 26-50. DOI
- Gavalas, D., Konstantopoulos, Ch., Mastakas, K., Pantziou, G., , J. Network Computer Appl. 39 (2014), 319-333. DOI
- Gazdar, A., Hidri, L., , Knowledge-Based Syst. 188 (2020), 105058. DOI
- Guo, G., Zhang, J., Yorke-Smith, N., A novel bayesian similarity measure for recommender systems., In ACM, editor, Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI), pages 2619-2625, 2013.
- Harper, F. M., Konstan, J. A., The movielens datasets: History and context., ACM Trans. Int. Intell. Systems (TIIS) 5 (2015), 4, 1-19.
- Hwang, Ch. L., Yoon, K., Multiple Attribute Decision Making: Methods and Applications A State-Of-The-Art Survey, volume 186., Springer Science Business Media, 2012. MR0610245
- Idrissi, N., Zellou, A., A systematic literature review of sparsity issues in recommender systems., Social Network Anal. Mining 10 (2020), 1, 1-23.
- Jøsang, A., , Int. J. Uncertainty, Fuzziness Knowledge-Based Syst. 9 (2001), 3, 279-311. MR1843261DOI
- Jøsang, A., Subjective Logic, volume 4., 2016.
- Karimi, M., Jannach, D., Jugovac, M., , Inform. Process. Management 54 (2018), 6, 1203-1227. DOI
- Khojamli, H., Razmara, J., , Expert Syst. Appl. 185 (2021), 115482. DOI
- Kim, K., , Appl. Intell. 53 (2023), 23, 28804-28818. DOI
- Chetana, V. L., Seetha, H., , J. Inform. Knowledge Management (2024), 2450021. DOI
- Liu, H., Hu, Z., Mian, A., Tian, H., Zhu, X., , Knowledge-Based Syst. 56 (2014), 156-166. DOI
- Manochandar, S., Punniyamoorthy, M., , Appl. Intell. 51 (2021), 1, 586-615. DOI
- Mataoui, M., Sebbak, F., Sidhoum, A. H., Harbi, T. E., Senouci, M. R., Belmessous, K., , Social Network Anal. Mining 13 (2023), 1. 53. DOI
- Olson, D. L., , Math. Comput. Modell. 40 (2004), 7-8, 721-727. MR2106163DOI
- Papadakis, H., Papagrigoriou, An., Panagiotakis, C., Kosmas, E., Fragopoulou, P., , Knowledge Inform. Syst. 64 (2022), 1, 35-74. DOI
- Patra, B. K., Launonen, R., Ollikainen, V., Nandi, S., , Knowledge-Based Syst. 82 (2015), 163-177. DOI
- Ricci, F., Rokach, L., Shapira, B., Context-aware recommender systems: recommender systems handbook., In: Recommender Systems Handbook, Springer, 2011, pp. 217-253.
- Roy, D., Dutta, M., , J. Big Data 9 (2022), 1, 59. DOI
- Sánchez, P., Bellogín, A., , Inform. Process. Management 56 (2019), 1, 192-211. DOI
- Seth, R., Sharaff, A., , Data Mining Machine Learning Appl. (2022), 57-98. DOI
- Shojaei, M., Saneifar, H., , Expert Systems Appl. 177 (2021), 114969. DOI
- Valcarce, D., Parapar, J., Barreiro, Á., , Knowledge-Based Syst. 159 (2018), 193-202. DOI
- Wang, D., Yih, Y., Ventresca, M., , Expert Syst. Appl. 160 (2020), 113651. DOI
- Wang, Y., Deng, J., Gao, J., Zhang, P., , Inform. Sci. 418 (2017), 102-118. DOI
- Wang, Y., Wang, P., Liu, Z., Zhang, L. Y., , Expert Syst. Appl. 166 (2021), 114074. DOI
- Wu, X., Cheng, B., Chen, J., , IEEE Trans. Services Comput. 10 (2015), 3, 352-365. DOI
- Wu, X., Huang, Y., Wang, S., , In: 2017 IEEE 86th Vehicular Technology Conference (VTC-Fall), IEEE, 2017, pp. 1-5. DOI