Resolving cold start and sparse data challenge in recommender systems using multi-level singular value decomposition
Tài liệu tham khảo
Cui, 2018, A novel context-aware recommendation algorithm with two-level SVD in social networks, Future Gener Comput Syst, 86, 1459, 10.1016/j.future.2017.07.017
Kulkarni, 2020, Context aware recommendation systems: a review of the state of the art techniques, Comput Sci Rev, 37, 10.1016/j.cosrev.2020.100255
Natarajan, 2020, Resolving data sparsity and cold start problem in collaborative filtering recommender system using linked open data, Exp Syst Appl, 149, 10.1016/j.eswa.2020.113248
Camacho, 2018, Social network data to alleviate cold-start in recommender system: a systematic review, Inf Proc Manag, 54, 529, 10.1016/j.ipm.2018.03.004
Dixit, 2018, An improved similarity measure to alleviate sparsity problem in context-aware recommender systems, 281
Villegas, 2018, Characterizing context-aware recommender systems: a systematic literature review, Knowl Based Syst, 140, 173, 10.1016/j.knosys.2017.11.003
Raza, 2019, Progress in context-aware recommender systems – an overview, Comput Sci Rev, 31, 84, 10.1016/j.cosrev.2019.01.001
Kolahkaj, 2020, A hybrid context-aware approach for e-tourism package recommendation based on asymmetric similarity measurement and sequential pattern mining, Electron Commer Res Appl, 42, 10.1016/j.elerap.2020.100978
Yang, 2020, A meta-feature based unified framework for both cold-start and warm-start explainable recommendations, World Wide Web, 23, 241, 10.1007/s11280-019-00683-z
Son, 2016, Dealing with the new user cold-start problem in recommender systems: a comparative review, Inform Syst, 58, 87, 10.1016/j.is.2014.10.001
Esmaeili, 2020, A novel tourism recommender system in the context of social commerce, Exp Syst Appl, 149, 10.1016/j.eswa.2020.113301
Nguyen, 2017, Using community preference for overcoming sparsity and cold-start problems in collaborative filtering system offering soft ratings, Electron Commer Res Appl, 26, 101, 10.1016/j.elerap.2017.10.002
Moradi, 2015, A reliability-based recommendation method to improve trust-aware recommender systems, Exp Syst Appl, 42, 7386, 10.1016/j.eswa.2015.05.027
Sharma, 2021, Demographic profile building for cold start in recommender system: a social media fusion approach, Mater Today Proc, 19
Guo, 2019, Cold start recommendation based on attribute-fused singular value decomposition, IEEE Access, 7, 11349, 10.1109/ACCESS.2019.2891544
Liu, 2020, Towards context-aware collaborative filtering by learning context-aware latent representations, Knowl Based Syst, 199, 10.1016/j.knosys.2020.105988
Hong, 2018, Multi-sided recommendation based on social tensor factorization, Inform Sci, 447, 140, 10.1016/j.ins.2018.03.019
Wu, 2017, Improving performance of tensor-based context-aware recommenders using bias tensor factorization with context feature auto-encoding, Knowl Based Syst, 128, 71, 10.1016/j.knosys.2017.04.011
Ren, 2017, Context-aware probabilistic matrix factorization modeling for point-of-interest recommendation, Neurocomputing, 241, 38, 10.1016/j.neucom.2017.02.005
Raghuwanshi, 2018, Accelerated singular value decomposition (ASVD) using momentum based gradient descent optimization, J King Saud Univ Comput Inform Sci, 28
Zheng, 2015, Similarity-based context-aware recommendation, 431
Feng, 2021, RBPR: a hybrid model for the new user cold start problem in recommender systems, Knowl Based Syst, 214, 10.1016/j.knosys.2020.106732
Yuan, 2019, Singular value decomposition based recommendation using imputed data, Knowl Based Syst, 163, 485, 10.1016/j.knosys.2018.09.011
Vahidy Rodpysh K., KDD IMDB dataset, 2020, https://www.kaggle.com /saturn3608/stcars4. (Accessed 22 Jun 2020).
Vahidy Rodpysh K., KDD STS dataset, 2020, https://www.kaggle.com/saturn3608/imdbcars4. (Accessed 23 Jun 2020).