Hi,
Does anybody have any idea about how to do incremental update for the item
similarity? I mean how I can apply latest user action data for example today's
data? Do I have to run it again for the entire dataset?
Thanks,
Kevin
.
There is no incremental way to update the model (yet) but it can be rerun in a
few minutes and as I said you get recs with realtime user history, even for new
users not in the training data.
On Mar 10, 2015, at 3:07 PM, Kevin Zhang zhangyongji...@yahoo.com.INVALID
wrote:
Hi,
Does anybody have any
May I say indicator-matrix is for the main action for example purchase and the
cross-indicator-matrix is for the secondary action?
Thanks a lot,
Kevin
Hi Pat,
Thanks for the spark-itemsimilarity. I just ran it against my csv file which
looks like below. My two actions are Liked and AddToCart. AddToCart is the main
action.
usr000d3ca6655-c132-11e4-ac0a-0cc47a03334d Liked
prdb5bc44b-fca8-4462-ba19-b9b2b823beb6
Hi,
I'm new to Spark, Mahout. Just tried to run the spark-itemsimilarity but no
luck.
Here is what I did.
1. clone git Mahout git project
2. run mvn install
3. set $MAHOUT_HOME to the project path
4. added $MAHOUT_HOME/bin to the PATH variable
5. download Spark, extract it to a dir
6. set
Thanks to Dmitriy for answering my previous question regarding the Spark
version. I just downgraded the version to spark-1.1.0-bin-hadoop2.4 and run my
commane mahout spark-itemsimilarity -i ./mahout-input/order_item.tsv -o
./output -f1 purchase -f2 view -os -ic 2 -fc 1 -td , again. This time I