This is the public repo for CoEA: A Cooperative-Competitive Evolutionary Algorithm for Bidirectional Recommendations

GT is our Algorithm(GTEA(-GM);GTEA(-GC);GTEA) ! Note that dataset is too large, we don't include it in this repo, please leave your email if you want.

Algorithm Step

• PlatEMO-RUN Benchmarks（NSGA-Ⅱ、SPEA2、MOEA-D and ARMOEA etc.）

  Run main.m, parameter settings as follows:

  

  Results will be saved in data directory, then run Results.m to get correct format (PS/PSV.mat).

  Next, evalute the results

  • First, run Repair_MOEAs.m, get PS_Repair.mat;

  • Second, run Evaluate_MOEAs.m, get PSV_Repair.mat;

  • Third, run Non_dominate.m, get PS_Nondo.mat and PSV_Nondo.mat

• P2P_Lending problem

  • First, Run UCF and ICF to get the corr result.( run CFCommendation.m, get UCF.mat; then run ICF Commendation.m, get ICF.)

    ICF should be run twice（modify the corr UCF or ICF）

    Note: ps ＝cell（1，1）ps｛1｝＝ PS (ICF)

  • Second, run WholeFramework.m

  • Third, run draw.m, get Pareto Frontier（https://jingyan.baidu.com/article/6fb756ec6dc922241858fb19.html）（http://www.pudn.com/Download/item/id/2148827.html）。

  • Finally, run Matric.m, get the evalution metrics.

• Group_Purchase Problem

  • The same as P2Plending.

• Note: Matlab Storage format must be modified in V7.3mat

If you follow our work, please cite it：

[1] Zhao H, Wu X, Zhao C, et al. CoEA: A Cooperative-Competitive Evolutionary Algorithm for Bidirectional Recommendations[J]. IEEE Transactions on Evolutionary Computation, 2021.