A hybridization of content based and collaborative filtering
based recommendation is proposed. The weights of different
attributes of an item are computed from the collaborative
social network using regression analysis. Further studies
on other weight estimation techniques like sparse regression
and isometric projection are being considered. Also more
rigorous performance evaluation based on human judgment
will be undertaken.