Comparison of Recommender System Algorithms focusing on the New-Item and User-Bias Problem
S. Hauger, K. Tso, und L. Schmidt-Thieme. The 31st Annual Conference of the German Classification Society on Data Analysis, Machine Learning, and Applications, (2007)
%0 Conference Paper
%1 hauger07newitem
%A Hauger, Stefan
%A Tso, Karen H. L.
%A Schmidt-Thieme, Lars
%B The 31st Annual Conference of the German Classification Society on Data Analysis, Machine Learning, and Applications
%D 2007
%K 2007 GfKl bias ismll item-prediction new-item recommendation recsys
%T Comparison of Recommender System Algorithms focusing on the New-Item and User-Bias Problem
@inproceedings{hauger07newitem,
added-at = {2009-07-24T18:19:30.000+0200},
author = {Hauger, Stefan and Tso, Karen H. L. and Schmidt-Thieme, Lars},
biburl = {https://www.bibsonomy.org/bibtex/260124d7efd46743fddd4931b4eb4d94a/zeno},
booktitle = {The 31st Annual Conference of the German Classification Society on Data Analysis, Machine Learning, and Applications},
interhash = {63592edfc410b7eca42abaec23e638a4},
intrahash = {60124d7efd46743fddd4931b4eb4d94a},
keywords = {2007 GfKl bias ismll item-prediction new-item recommendation recsys},
timestamp = {2009-12-17T17:55:22.000+0100},
title = {Comparison of Recommender System Algorithms focusing on the New-Item and User-Bias Problem},
year = 2007
}