39 search results - page 3 / 8 » Improving Recommendation Ranking by Learning Personal Featur... |
MICAI
2007
Springer
14 years 2 months ago
2007
Springer
Instance-based learning algorithms are widely used due to their capacity to approximate complex target functions; however, the performance of this kind of algorithms degrades signi...
IUI
2005
ACM
14 years 2 months ago
2005
ACM
Proactive contextual information systems help people locate information by automatically suggesting potentially relevant resources based on their current tasks or interests. Such ...
SIGIR
2011
ACM
12 years 11 months ago
2011
ACM
Pseudo-relevance feedback has proven effective for improving the average retrieval performance. Unfortunately, many experiments have shown that although pseudo-relevance feedback...
CIKM
2010
Springer
13 years 7 months ago
2010
Springer
We consider the problem of learning to rank relevant and novel documents so as to directly maximize a performance metric called Expected Global Utility (EGU), which has several de...
ADMA
2005
Springer
14 years 2 months ago
2005
Springer
Accurate probability-based ranking of instances is crucial in many real-world data mining applications. KNN (k-nearest neighbor) [1] has been intensively studied as an effective c...