A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
Effectiveness of Different Recommender Algorithms in the Mobile Internet: A Case Study
2009
International Joint Conference on Artificial Intelligence
Despite the broad use of Recommender Systems (RS) technology in various domains, the number of publicly available reports on the actual business value of such systems is limited. This paper presents first results of an empirical evaluation of how different recommendation algorithms affect the navigation and buying behavior of a sample of over 155.000 different customers on a commercial Mobile Internet portal for cell phone games. The evaluated RS algorithms include itembased collaborative
dblp:conf/ijcai/HegelichJ09
fatcat:lyimcx6itvc5bjxp4os3zwt3dy