hi, I am testing my method by foursquare dataset: https://archive.org/details/201309_foursquare_dataset_umn. I don not know why in some cases there are several rating for one item. I mean, a person have some different rating for one item. for example, person 'a' rated item 'b' for three times and sometimes these three ratings are different from each other. how should I handle these ratings? should I get the average of these ratings to obtain the rating of that person for the item?
thanks in advance
Hi Maryam,
It's based on the idea behind collecting the data. Rating different time means each time reflexes a particular instance feature. Generally, we don't recommend using the mean for such case, but instead of that, we recommend considering them as independent data features/variables that all of them are required.
HTH.
Samer
Hi Maryam,
It's based on the idea behind collecting the data. Rating different time means each time reflexes a particular instance feature. Generally, we don't recommend using the mean for such case, but instead of that, we recommend considering them as independent data features/variables that all of them are required.
HTH.
Samer
Hi Maryam,
I pretty much agree with Samer's suggestions. Users have different features in different periods. When we analyze user behaviors, temporal information should be considered. Context information is important that affects user ratings a lot. I suggest to combine the ratings with temporal information in data mining.
Hope this helps
Guoshuai Zhao
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