Collaboration Analysis in Recommender Systems using Social Networks Export

@misc{citeulike:83832, abstract = {Many researchers have focussed their efforts in developing collaborative recommender systems. It has been proved that the use of collaboration in such systems improves its performance, but what is not known is how this collaboration is done and what is more important, how it has to be done in order to optimise the information exchange. The collaborative relationships in recommender systems can be represented as a social network. In this paper we propose several measures to analyse collaboration ...}, author = {Miquel, Jordi P.}, citeulike-article-id = {83832}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.6.3456}, keywords = {networks, socialnetworks, web\_20}, posted-at = {2009-09-25 15:52:08}, priority = {2}, title = {Collaboration Analysis in Recommender Systems using Social Networks}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.6.3456} }

TY - GEN ID - citeulike:83832 L3 - citeulike-article-id:83832 N2 - Many researchers have focussed their efforts in developing collaborative recommender systems. It has been proved that the use of collaboration in such systems improves its performance, but what is not known is how this collaboration is done and what is more important, how it has to be done in order to optimise the information exchange. The collaborative relationships in recommender systems can be represented as a social network. In this paper we propose several measures to analyse collaboration ... TI - Collaboration Analysis in Recommender Systems using Social Networks KW - networks KW - socialnetworks KW - web_20 AU - Miquel, Jordi UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.6.3456 ER -