In my experience, using such content-based features tends to make the
recommendations worse. But of course, this can be different in your case.
I suggest you start with a basic item-based recommender that ignores
user descriptions. In your production system, you should create the
functionality to run A/B tests, so that you can test different
recommenders and evaluate them according to some business metric. If you
have this machinery set up, you can easily test more complicated
recommenders (such as one that leverages user descriptions) and see if
they peform better than standard ones.
On 23.11.2013 01:09, Antony Adopo wrote: