394 search results - page 14 / 79 » Learning to recommend questions based on user ratings |
111
click to vote
CIKM
2008
Springer
14 years 11 months ago
2008
Springer
This paper describes a new method for providing recommendations tailored to a user's preferences using text mining techniques and online technical specifications of products....
KDD
2005
ACM
15 years 10 months ago
2005
ACM
Abstract. To make accurate recommendations, recommendation systems currently require more data about a customer than is usually available. We conjecture that the weaknesses are due...
ICDM
2010
IEEE
14 years 7 months ago
2010
IEEE
Cold-start scenarios in recommender systems are situations in which no prior events, like ratings or clicks, are known for certain users or items. To compute predictions in such ca...
SIGIR
2003
ACM
15 years 3 months ago
2003
ACM
Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...
126
click to vote
ADAPTIVE
2007
Springer
15 years 4 months ago
2007
Springer
One of the potent personalization technologies powering the adaptive web is collaborative filtering. Collaborative filtering (CF) is the process of filtering or evaluating items th...