Nearest-biclusters collaborative filtering with constant values
WebKDD'06 Proceedings of the 8th Knowledge discovery on the web international conference on Advances in web mining and web usage analysis
User-based Collaborative Filtering: Sparsity and Performance
Proceedings of the 2010 conference on STAIRS 2010: Proceedings of the Fifth Starting AI Researchers' Symposium
Collaborative filtering: the aim of recommender systems and the significance of user ratings
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
Hi-index | 0.00 |
The outcome of a test of an application that stores data in a database naturally depends on the state of the database. It is therefore important that test developers are able to set up and tear down database states in a simple and efficient manner. In ...