GitHub user vaghawan opened an issue:
https://github.com/apache/incubator-predictionio-template-recommender/issues/13
How the score works?
Hi, I am curious about how the score works in recommendation engine?
Is it in 100? I've the rank 10 in my engine.json however it even shows 11
and 12 as score sometimes.
My engine.json works something like this:
```
{
"id": "default",
"description": "Default settings",
"engineFactory": "rec.RecommendationEngine",
"datasource": {
"params" : {
"appName": "MyApp1"
}
},
"algorithms": [
{
"name": "als",
"params": {
"rank": 10,
"numIterations": 5,
"lambda": 0.01,
"seed": 3
}
}
]
}
```
Also I was curious about the implicit events like "buy" . I've been using
the template in case of buy, what does mean by rating 4, what's the highest
rating. I can't find it anywhere in documentation. I'm just testing it
currently, I might have to switch to implicit train, but could you please let
me know what's the highest rating and whats the highest score. What does mean
by rank in the engine.json file?
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