FileDataModel
is used to encapsulate recommender data stored in a file. Each line in the file
must follow below format.
userID,itemID[,preference[,timestamp]]
userID and
itemId are long values.
preference
is a double value, it is optional.
Timestamp is
a long value.
An empty
line, or one that begins with '#' will be ignored as a comment.
Note:
All the
items in the file must express no preference, or the all must.
Go through “First Recommender Engine” example.
Go through “First Recommender Engine” example.
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