If you want to group similar objects ( in your case, content) together,
then clustering algorithms would help.
On 21-02-2012 23:26, VIGNESH PRAJAPATI wrote:
THanks Manuel Blechschmidt ,
can you suggest me another algorithm of mahout that can generate
content based recommendation .?
On Tue, Feb 21, 2012 at 10:55 PM, Manuel Blechschmidt<
[email protected]> wrote:
Hello Vignesh,
content based recommendation is as far as I know not supported by taste.
Taste uses collaborative filtering techniques.
If you want to use content based recommendation I would recommend to use
simple SQL to query your database for products with same attributes.
e.g. if you have a shirt then search the database for search
if you have a blue jacket search the database for other blue stuff
You can also collect these attributes during the browsing behavior of the
customer and then combine then.
Hope that helps
Manuel
On 21.02.2012, at 18:20, VIGNESH PRAJAPATI wrote:
Hello folks,
I am new to Apache mahout, have developed Simple Recommender for my
online portal purchasing data based on Taste.Its *Collaborative
filtering*.but
i am not satisfied with the result of this recommender, cause sometimes
it
gives no recommendation for Userbased Recommender, Item Based Recommender
and Slop One Recommender. So, I want to try Content Based Recommender.Any
one have Idea on my Problem , how can i Solve this ?Or any alternative
for
this.....?
Thanks
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