SDM
2012
SIAM
11 years 7 months ago
2012
SIAM
Multiple data sources containing different types of features may be available for a given task. For instance, users’ profiles can be used to build recommendation systems. In a...
WSDM
2012
ACM
12 years 12 days ago
2012
ACM
Recommendation systems exist to help users discover content in a large body of items. An ideal recommendation system should mimic the actions of a trusted friend or expert, produc...
JCDL
2011
ACM
12 years 7 months ago
2011
ACM
Serendipity occurs when one finds an interesting discovery while searching for something else. In digital libraries, recommendation engines are particularly well-suited for seren...
IPM
2011
12 years 8 months ago
2011
Abstract-Search engines, such as Google, assign scores to news articles based on their relevancy to a query. However, not all relevant articles for the query may be interesting to ...
CORR
2011
Springer
12 years 8 months ago
2011
Springer
Searching for and making decisions about information is becoming increasingly difficult as the amount of information and number of choices increases. Recommendation systems help ...
KAIS
2011
12 years 11 months ago
2011
Recommendation Systems have become an important tool to cope with the information overload problem by acquiring data about the user behavior. After tracing the user behavior, throu...
CORR
2010
Springer
13 years 1 months ago
2010
Springer
Modeling ranked data is an essential component in a number of important applications including recommendation systems and websearch. In many cases, judges omit preference among un...
SEMWEB
2010
Springer
13 years 2 months ago
2010
Springer
Abstract. This paper describes the theoretical background and the implementation of dbrec, a music recommendation system built on top of DBpedia, offering recommendations for more ...
PAAPP
2007
13 years 4 months ago
2007
\Web users are nowadays confronted with the huge variety of available information sources whose content is not targeted at any specific group or layer. Recommendation systems aim...
ECRA
2007
13 years 4 months ago
2007
Recommendation systems have been studied actively since the 1990s. Generally, recommendation systems choose one or more candidates from a set of candidates through a filtering pro...