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Articles

Application of SVM model based on collaborative filtering hybrid algorithm in e-commerce recommendation

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Pages 292-300 | Received 18 Aug 2023, Accepted 18 Jan 2024, Published online: 04 Feb 2024

Reference

  • Lu Q, Guo F, Zhang R. User-based collaborative filtering recommendation method combining with privacy concerns intensity in mobile commerce. Int J Wirel Mob Comput. 2019;17(1):63–70. doi:10.1504/IJWMC.2019.10022319
  • Chen X, Xue Y, Shiue Y. Rule based semantic reasoning for personalized recommendation in indoor O2O e- commerce. Int Core J Eng. 2020; 6(1):309–318.
  • Chang D, Gui HY, Fan R, et al. Application of improved collaborative filtering in the recommendation of E-commerce commodities. Int J Comput Commun Control (IJCCC). 2019;14(4):489–502. doi:10.15837/ijccc.2019.4.3594
  • Hu ZH, Li X, Wei C, et al. Examining collaborative filtering algorithms for clothing recommendation in e- commerce. Text Res J. 2019;89(14):2821–2835. doi:10.1177/0040517518801200
  • Xiang D, Zhang Z. Cross-border E-commerce personalized recommendation based on fuzzy association specifications combined with complex preference model. Math Probl Eng. 2020;2020(4):1–9.
  • Li Y, Wang S, Pan Q, et al. Learning binary codes with neural collaborative filtering for efficient recommendation systems. Knowl-Based Syst. 2019;172:64–75. doi:10.1016/j.knosys.2019.02.012
  • Li L, Zhang Z, Zhang S. Hybrid algorithm based on content and collaborative filtering in recommendation system optimization and simulation. Sci Program. 2021;2021(Pt. 3):1–11.
  • Xin M, Wu L. Using multi-features to partition users for friends recommendation in location based social network. Inf Process Manag. 2020;57(1):1–13.
  • Wu WYB. Personalized recommendation algorithm based on consumer psychology of local group purchase e-commerce users. J Intell Fuzzy Syst: Appl Eng Technol. 2019;37(5 Pt. 1):5973–5981.
  • Cao M, Zhou S, Gao H. A recommendation approach based on product attribute reviews: improved collaborative filtering considering the sentiment polarity. Intell Autom Soft Comput. 2019;25(3):593–602.
  • Nath M, Mitra PS, Kumar D. A novel residual learning-based deep learning model integrated with attention mechanism and SVM for identifying tea plant diseases. Int J Comput Appl. 2023;45:471–484.
  • Zhu H, Du J, Wang LL, et al. A vision-based fall detection framework for the elderly in a room environment using motion features and DAG-SVM. Int J Comput Appl. 2022;44(7/9):678–686.
  • ] Ünver M, Olgun M, Türkarslan E. Cosine and cotangent similarity measures based on Choquet integral for spherical fuzzy sets and applications to pattern recognition. J Comput Cogn Eng. 2022;1(1):21–31.
  • Suresh A, Carmel MJ, Belinda M. A Comprehensive study of hybrid recommendation systems for E-commerce applications. Int J Adv Sci Technol. 2020;29(3):4089–4101.
  • Pan L, Qin J, Wang L. A personalised recommendation algorithm based on probabilistic neural networks. Int J Inform Commun Technol. 2019;14(4):385–402.
  • Manwade PPNKB. Survey on recommendation of E- commerce products to existing and new user by analyzing social data along with e-commerce data. Int J Mod Trends Sci Technol. 2020;6(7):78–84. doi:10.46501/IJMTST060712
  • He K. Research on collaborative filtering recommendation algorithm based on user interest for cloud computing. Int J Internet Manuf Serv. 2019;6(4):357–370.
  • Botangen KA, Yu J, Sheng QZ, et al. Geographic-aware collaborative filtering for web service recommendation. Expert Syst Appl. 2020;151:1–18. doi:10.1016/j.eswa.2020.113347
  • Aljunid MF, Dh M. An efficient deep learning approach for collaborative filtering recommender system. Procedia Comput Sci. 2020;171(3):829–836. doi:10.1016/j.procs.2020.04.090
  • Salunke A, Kukreja R, Kharche J, et al. Personalized suggestion for music based on collaborative filtering. Int J Eng Comput Sci. 2020;9(5):25047–25051.
  • Ji S. Research on personalized recommendation algorithm of cross-border e-commerce under large data background. Ital J Pure Appl Math. 2019;567(41):358–368.
  • Tao J, Gan J, Wen B. Collaborative filtering recommendation algorithm based on spark. Int J Perform Eng, 2019, 15(3):930-938.

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