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(ICTIR2020) "Unbiased Pairwise Learning from Biased Implicit Feedback"

License: Apache License 2.0

Python 100.00%
recommender-system implicit-feedback bayesian-personalized-ranking research

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unbiased-pairwise-rec's Issues

Question about the results on the coat dataset.

Thanks for sharing the code. I follow your instructions, directly run the code (no modification) and get the following results in the ranking_all.csv file.

,DCG@3,DCG@5,DCG@8,Recall@3,Recall@5,Recall@8,MAP@3,MAP@5,MAP@8
wmf,0.0578918,0.0786351,0.1034409,0.0652348,0.1101706,0.1790738,0.0422196,0.054651,0.0690561
expomf,0.0909645,0.1102964,0.1276119,0.0959223,0.1364149,0.1836412,0.0848237,0.097459,0.1076237
relmf,0.0573253,0.0784824,0.1036326,0.064685,0.1102209,0.1801171,0.0422954,0.0555759,0.0704563
bpr,0.0664874,0.0864072,0.1110801,0.0748996,0.1178387,0.1868158,0.0483589,0.0607375,0.0754249
ubpr,0.0586047,0.0793928,0.1034167,0.0665724,0.1117508,0.1782271,0.0409541,0.0537214,0.0678179

The results are different from your paper results of Coat in the Table 2. Can you tell me how to get your paper results?

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