Bhushan Shankar Suryavanshi, Nematollaah Shiri, Sudhir P. Mudur. Improving the Effectiveness of Model Based Recommender Systems for Highly Sparse and Noisy Web Usage Data. In Andrzej Skowron, Rakesh Agrawal, Michael Luck, Takahira Yamaguchi, Pierre Morizet-Mahoudeaux, Jiming Liu, Ning Zhong, editors, 2005 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2005), 19-22 September 2005, Compiegne, France. pages 618-621, IEEE Computer Society, 2005. [doi]
@inproceedings{SuryavanshiSM05:0,
title = {Improving the Effectiveness of Model Based Recommender Systems for Highly Sparse and Noisy Web Usage Data},
author = {Bhushan Shankar Suryavanshi and Nematollaah Shiri and Sudhir P. Mudur},
year = {2005},
doi = {10.1109/WI.2005.74},
url = {http://doi.ieeecomputersociety.org/10.1109/WI.2005.74},
tags = {rule-based, recommender systems},
researchr = {https://researchr.org/publication/SuryavanshiSM05%3A0},
cites = {0},
citedby = {0},
pages = {618-621},
booktitle = {2005 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2005), 19-22 September 2005, Compiegne, France},
editor = {Andrzej Skowron and Rakesh Agrawal and Michael Luck and Takahira Yamaguchi and Pierre Morizet-Mahoudeaux and Jiming Liu and Ning Zhong},
publisher = {IEEE Computer Society},
isbn = {0-7695-2415-X},
}