Applying associative retrieval techniques to alleviate the sparsity problem in collaborative filtering

@article{citeulike:232153, address = {New York, NY, USA}, author = {Huang, Zan and Chen, Hsinchun and Zeng, Daniel }, citeulike-article-id = {232153}, doi = {http://dx.doi.org/10.1145/963770.963775}, issn = {1046-8188}, journal = {ACM Trans. Inf. Syst.}, keywords = {collaborative, filtering}, month = {January}, number = {1}, pages = {116--142}, posted-at = {2005-06-20 02:27:45}, priority = {2}, publisher = {ACM Press}, title = {Applying associative retrieval techniques to alleviate the sparsity problem in collaborative filtering}, url = {http://dx.doi.org/10.1145/963770.963775}, volume = {22}, year = {2004} }

TY - JOUR ID - citeulike:232153 L3 - citeulike-article-id:232153 TI - Applying associative retrieval techniques to alleviate the sparsity problem in collaborative filtering JF - ACM Trans. Inf. Syst. VL - 22 IS - 1 SP - 116 EP - 142 AD - New York, NY, USA PB - ACM Press SN - 1046-8188 KW - collaborative KW - filtering AU - Huang, Zan AU - Chen, Hsinchun AU - Zeng, Daniel PY - 2004/01// UR - http://dx.doi.org/10.1145/963770.963775 ER -