Considering the task of finding the right products for a user, the question is how we can exploit the data sources available from Facebook to arrive at an effective recommendation set
Mapping the gender and age taken from the Facebook profile to products
matching the appropriate segment (like girls, boys, women, men) which can in turn be used to
filter products, especially exclude those not matching well
By a membership in a Facebook group, users express their association to a certain
topic which might be used to identify products of interest. We use the group name to search
for matching products.
Some product offerings, e.g. event vouchers or souvenir articles, are locationspecific.
The hometown can be used to find products that match the user’s home location and
enable to offer products based on regional affinity.
Considering the task of finding the right products for a user, the question is how we can exploit the data sources available from Facebook to arrive at an effective recommendation setMapping the gender and age taken from the Facebook profile to productsmatching the appropriate segment (like girls, boys, women, men) which can in turn be used tofilter products, especially exclude those not matching wellBy a membership in a Facebook group, users express their association to a certaintopic which might be used to identify products of interest. We use the group name to searchfor matching products.Some product offerings, e.g. event vouchers or souvenir articles, are locationspecific.The hometown can be used to find products that match the user’s home location andenable to offer products based on regional affinity.
การแปล กรุณารอสักครู่..