Question about IF-BPR: parameter batch_size is invalid!

[rcuu]

I downloaded the ratings_data.txt and trust_data.txt from HERE, deleted the first line and placed it in dir dataset.

Run a4(IF-BPR) with this configuration file:

ratings=../dataset/epinions/ratings_data.txt
social=../dataset/epinions/trust_data.txt
ratings.setup=-columns 0 1 2
social.setup=-columns 0 1 2
recommender=IF_BPR
evaluation.setup=-cv 5 -b 1
item.ranking=on -topN 10
num.factors=20
num.max.iter=30
IF_BPR=-T 2 -L 20 -l 20 -w 5 -k 150 -a 0.2 -ep 5 -neg 5 -r 0.03
learnRate=-init 0.05 -max 1
reg.lambda=-u 0.01 -i 0.01 -b 0.01 -s 0.2
output.setup=on -dir ../results/

But I have encountered this problem：

please enter the num of the algorithm to run it:a4
loading training data...
loading social data...
preprocessing...
parameter batch_size is invalid!
parameter batch_size is invalid!
parameter batch_size is invalid!
parameter batch_size is invalid!
parameter batch_size is invalid!
Traceback (most recent call last):
  File "main.py", line 150, in <module>
    recSys.execute()
  File "/home/name/Desktop/RecQ/main/RecQ.py", line 100, in execute
    self.measure = [dict(m)[i] for i in range(1,k+1)]
KeyError: 1

Excuse me, may I ask which step did I not do well??

[Coder-Yu]

hi, thanks for your interest. I have updated the config file, you can download the new version and try again. Kindly remind you that you have to pick out the negative samples and organized them as a file because IF-BPR needs to read negative samples. Besides, all the datasets used in our paper can be found by accessing https://github.com/CQU-CSE/DatasetCollection. In addition, there is a unintentional mistake in our paper that we recorded users that have less than 20 ratings as the cold users while in the paper we wrote 10.

[rcuu]

I compared the old and new versions of IF-BPR.conf as if there was no difference...
Then I read the source code of IF_BPR(IF_BPR.py), and placed the ratings_n.txt containing the negative sample in the dataset/epinions/ directory. The same error persists. QAQ

def readNegativeFeedbacks(self):
    ...
    filename = self.config['ratings'][:-4]+'_n.txt'
    with open(filename) as f:
    ...

[Coder-Yu]

It's OK now. Sorry for the mistake.

[rcuu]

Solved, thank you for your answer.