Things got clearier with your help!
Thank you very much
On 9 March 2015 at 01:50, Ted Dunning ted.dunn...@gmail.com wrote:
Efi,
Only you can really tell which is best for your efforts. All the rest is
our own partially informed opinions.
Pre-filtering can often be accomplished in the
Glad to help.
You can help us by reporting your results when you get them.
We look forward to that!
On Tue, Mar 10, 2015 at 4:22 AM, Efi Koulouri ekoulou...@gmail.com wrote:
Things got clearier with your help!
Thank you very much
On 9 March 2015 at 01:50, Ted Dunning
the dataset based on the value of contextual factor before the
collaborative filtering while the latter rescores the recommendations
after
the collaborative filtering.
I have already read older similar questions regarding the context-aware
recommender implementation in mahout and I know that the post
Efi,
Only you can really tell which is best for your efforts. All the rest is
our own partially informed opinions.
Pre-filtering can often be accomplished in the search context by creating
more than one indicator field and using different combinations of
indicators for different tasks. For
filtering.
I have already read older similar questions regarding the context-aware
recommender implementation in mahout and I know that the post-filtering
method can be implemented using the IDRescorer. For the pre-filtering
approach there is the option to use the CandidateItemsStategy
of contextual factor before the
collaborative filtering while the latter rescores the recommendations
after
the collaborative filtering.
I have already read older similar questions regarding the context-aware
recommender implementation in mahout and I know that the post-filtering
the context-aware
recommender implementation in mahout and I know that the post-filtering
method can be implemented using the IDRescorer. For the pre-filtering
approach there is the option to use the CandidateItemsStategy in case of
the item-based recommender. On the other hand if we want
based on the value of contextual factor before the
collaborative filtering while the latter rescores the recommendations after
the collaborative filtering.
I have already read older similar questions regarding the context-aware
recommender implementation in mahout and I know that the post
and post-filtering. The former filters
out the dataset based on the value of contextual factor before the
collaborative filtering while the latter rescores the recommendations after
the collaborative filtering.
I have already read older similar questions regarding the context-aware
recommender
older similar questions regarding the context-aware
recommender implementation in mahout and I know that the post-filtering
method can be implemented using the IDRescorer. For the pre-filtering
approach there is the option to use the CandidateItemsStategy in case of
the item-based recommender
and post-filtering. The former filters
out the dataset based on the value of contextual factor before the
collaborative filtering while the latter rescores the recommendations after
the collaborative filtering.
I have already read older similar questions regarding the context-aware
recommender
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