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
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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
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First, run Repair_MOEAs.m, get PS_Repair.mat;
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Second, run Evaluate_MOEAs.m, get PSV_Repair.mat;
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Third, run Non_dominate.m, get PS_Nondo.mat and PSV_Nondo.mat
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P2P_Lending problem
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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)
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Second, run WholeFramework.m
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Third, run draw.m, get Pareto Frontier（https://jingyan.baidu.com/article/6fb756ec6dc922241858fb19.html）（http://www.pudn.com/Download/item/id/2148827.html）。
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Finally, run Matric.m, get the evalution metrics.
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Group_Purchase Problem
- The same as P2Plending.
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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.