G. Özbal Et Al. , "A content boosted collaborative filtering approach for movie recommendation based on local & global similarity and missing data prediction," 25th International Symposium on Computer and Information Sciences, ISCIS 2010 , vol.62 LNEE, London, England, pp.109-112, 2010
Özbal, G. Et Al. 2010. A content boosted collaborative filtering approach for movie recommendation based on local & global similarity and missing data prediction. 25th International Symposium on Computer and Information Sciences, ISCIS 2010 , (London, England), 109-112.
Özbal, G., Karaman, H., & ALPASLAN, F. N., (2010). A content boosted collaborative filtering approach for movie recommendation based on local & global similarity and missing data prediction . 25th International Symposium on Computer and Information Sciences, ISCIS 2010 (pp.109-112). London, England
Özbal, Gözde, Hilal Karaman, And FERDA NUR ALPASLAN. "A content boosted collaborative filtering approach for movie recommendation based on local & global similarity and missing data prediction," 25th International Symposium on Computer and Information Sciences, ISCIS 2010, London, England, 2010
Özbal, Gözde Et Al. "A content boosted collaborative filtering approach for movie recommendation based on local & global similarity and missing data prediction." 25th International Symposium on Computer and Information Sciences, ISCIS 2010 , London, England, pp.109-112, 2010
Özbal, G. Karaman, H. And ALPASLAN, F. N. (2010) . "A content boosted collaborative filtering approach for movie recommendation based on local & global similarity and missing data prediction." 25th International Symposium on Computer and Information Sciences, ISCIS 2010 , London, England, pp.109-112.
@conferencepaper{conferencepaper, author={Gözde Özbal Et Al. }, title={A content boosted collaborative filtering approach for movie recommendation based on local & global similarity and missing data prediction}, congress name={25th International Symposium on Computer and Information Sciences, ISCIS 2010}, city={London}, country={England}, year={2010}, pages={109-112} }