Database Reference
In-Depth Information
Table 12.3 RecommenderJob Parameters
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
 
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