I have developed an algorithm which recommends geographical locations to users based on popular trends and their own interests. The dataset is created by my organization. So the user selects a few categories and based on his interest and rating by other people he is presented with recommended places for him.
How do you evaluate or use metrics for such system given that ground truth doesn't makes sense in this case ?
EDIT: I meant that how to evaluate the accuracy or quality of results in such case especially for published work.
EDIT 2 (as per the request for details in the comments)
Details of the system
The user indicates his preferences from a predefined set of tags (cultural, mountains etc)
Users can also rate different places on a scale of 1-5.
Users profile (geographical location, places already visited etc are already stored in his profile)
Based on user's choice and other heuristics(rating etc), a set of places is recommended by the system.