Hi,
I am currently trying to run the distributed Item Based Collaborative
filtering algorithm on our Hadoop cluster, and I have a few questions
regarding tweaking the various properties of the algorithm. For the
maxPrefsPerUser,maxSimilaritiesPerItem, and maxPrefsPerUserItemSimilarity
properties I was wondering if I could get a more detailed explanation of
what these properties control. I saw the description in the code, but I am
just wondering how changing these values will affect the results of the
algorithm, and will increasing them result in a better recommendation.
Thanks
I am currently trying to run the distributed Item Based Collaborative
filtering algorithm on our Hadoop cluster, and I have a few questions
regarding tweaking the various properties of the algorithm. For the
maxPrefsPerUser,maxSimilaritiesPerItem, and maxPrefsPerUserItemSimilarity
properties I was wondering if I could get a more detailed explanation of
what these properties control. I saw the description in the code, but I am
just wondering how changing these values will affect the results of the
algorithm, and will increasing them result in a better recommendation.
Thanks