CODEWITHSUNDEEP
mahout
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Reputation: 13867

Mahout recommendations with metadata related to preference

I was planning to write a recommender which treats preferences differently depending contextual information (time the preference was made, device used to make the recommendation, ...)

Within the Mahout in Action book and within the code examples shipped with Mahout I can't seem to find anything related. In some examples to there's metadata (a.k.a content) used to express user or item similarity - but that's not what I'm looking for.

I wonder if anyone already made an attempt to do sth similar with Mahout?

Edit:

A practical example could be that the current session is done on a mobile device and this should cause a push up (rating*1.1) for all preferences tracked on mobile devices and a drop for preferences tracked differently (rating*0.9).

...

Another example could be that some ratings are collected implicit and others explicit. How would I be able to keep track of this fact without "coding" that directly into the tracked value and how would I be able to use that information when calculating the scores?

Upvotes: 0

Views: 223

Answers (1)

Julian Ortega
Julian Ortega

Reputation: 947

I would say one approach is to use the Rescorer class to do just that, but my guess is that this is what you are referring to when you say that's not what you are looking for.

Another approach would be to pre-process the entire data you have to adjust the preferences according to your needs, before using Mahout to generate recommendations.

If you provide some more detail on how you expect to use your data to modify preferences, people here would be able to help even further.

Upvotes: 1

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