%0 Conference Paper %1 bu2009collaborative %A Bu, Manzhao %A Luo, Shijian %A He, Ji %B Computer-Aided Industrial Design Conceptual Design, 2009. CAID CD 2009. IEEE 10th International Conference on %D 2009 %K algorithm binary cf collaborative filtering implementation %P 973 -976 %R 10.1109/CAIDCD.2009.5374935 %T A fast collaborative filtering algorithm for implicit binary data %U http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5374935&tag=1 %X Item-based and user-based collaborative filtering are two well-known algorithms for recommender system in e-commerce. Both the algorithms make use of similarity matrix whose elements represent the similarity of each item pairs or user pairs. A fast algorithm for item-based similarity matrix computation using cosine similarity metric was reviewed and applied for user-based one with some modification. The results show that the fast algorithm can blend well with other similarity metrics, and it can greatly improve the computational performance.

@inproceedings{bu2009collaborative, abstract = {Item-based and user-based collaborative filtering are two well-known algorithms for recommender system in e-commerce. Both the algorithms make use of similarity matrix whose elements represent the similarity of each item pairs or user pairs. A fast algorithm for item-based similarity matrix computation using cosine similarity metric was reviewed and applied for user-based one with some modification. The results show that the fast algorithm can blend well with other similarity metrics, and it can greatly improve the computational performance.}, added-at = {2012-08-30T10:13:03.000+0200}, author = {Bu, Manzhao and Luo, Shijian and He, Ji}, biburl = {https://www.bibsonomy.org/bibtex/2e34cd30370fd0785efa332ac52fae709/folke}, booktitle = {Computer-Aided Industrial Design Conceptual Design, 2009. CAID CD 2009. IEEE 10th International Conference on}, description = {IEEE Xplore - A fast collaborative filtering algorithm for implicit binary data}, doi = {10.1109/CAIDCD.2009.5374935}, interhash = {3dee7de10f6fb47256df1475d017313b}, intrahash = {e34cd30370fd0785efa332ac52fae709}, keywords = {algorithm binary cf collaborative filtering implementation}, month = {nov.}, pages = {973 -976}, timestamp = {2012-08-30T10:13:03.000+0200}, title = {A fast collaborative filtering algorithm for implicit binary data}, url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5374935&tag=1}, year = 2009 }