?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Improving+Recommendation+Quality+by+Merging+Collaborative+Filtering+and+Social+Relationships&rft.creator=De+Meo%2C+Pasquale&rft.creator=Ferrara%2C+Emilio&rft.creator=Fiumara%2C+Giacomo&rft.creator=Provetti%2C+Alessandro&rft.subject=Artificial+Intelligence&rft.description=Matrix+Factorization+techniques+have+been+successfully+applied+to+raise+the+quality+of+suggestions+generated%0D%0Aby+Collaborative+Filtering+Systems+(CFSs).+Traditional+CFSs%0D%0Abased+on+Matrix+Factorization+operate+on+the+ratings+provided%0D%0Aby+users+and+have+been+recently+extended+to+incorporate%0D%0Ademographic+aspects+such+as+age+and+gender.+In+this+paper+we%0D%0Apropose+to+merge+CF+techniques+based+on+Matrix+Factorization%0D%0Aand+information+regarding+social+friendships+in+order+to%0D%0Aprovide+users+with+more+accurate+suggestions+and+rankings%0D%0Aon+items+of+their+interest.+The+proposed+approach+has+been%0D%0Aevaluated+on+a+real-life+online+social+network%3B+the+experimental%0D%0Aresults+show+an+improvement+against+existing+CF+approaches.%0D%0AA+detailed+comparison+with+related+literature+is+also+present&rft.date=2011&rft.type=Conference+Paper&rft.type=PeerReviewed&rft.format=application%2Fpdf&rft.identifier=http%3A%2F%2Fcogprints.org%2F7651%2F1%2Fisda2011-rec-sys.pdf&rft.identifier=++De+Meo%2C+Pasquale+and+Ferrara%2C+Emilio+and+Fiumara%2C+Giacomo+and+Provetti%2C+Alessandro++(2011)+Improving+Recommendation+Quality+by+Merging+Collaborative+Filtering+and+Social+Relationships.++%5BConference+Paper%5D+++++&rft.relation=http%3A%2F%2Fcogprints.org%2F7651%2F