Database Reference
In-Depth Information
Parameter Description
Input
Directory containing
preference data
Output
Output for recommender
output
similarityClassname
Name of vector similarity class
usersFile
User IDs to compute
recommendations
itemsFile
Item IDs to include in
recommendations
filterFile
Excludes the item/user
recommendations
numRecommendations
Number of recommendations
per user
booleanData
Treat input data as having no
preferences values
maxPrefsPerUser
Maximum preferences
considered per user
maxSimilaritiesPerItem
Maximum number of
similarities per item
minPrefsPerUser
Ignore users with less
preferences than this in the
similarity computation
maxPrefsPerUserInItemSimilarity
Maximum number of
preferences to consider per
user in the item similarity
Discard item pairs with a
similarity value
Threshold
Here is a list of the available similarity metrics:
• Euclidean distance