221 search results - page 20 / 45 » Exploiting multi-evidence from multiple user's interests to ... |
AND
2010
13 years 4 months ago
2010
On the Internet, users often encounter noise in the form of spelling errors or unknown words, however, dishonest, unreliable, or biased information also acts as noise that makes i...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
Abstract--Analysing Online Social Networks (OSN), voluntarily maintained and automatically exploitable databases of electronic personal information, promises a wealth of insight in...
WWW
2009
ACM
14 years 8 months ago
2009
ACM
Users of social networking services can connect with each other by forming communities for online interaction. Yet as the number of communities hosted by such websites grows over ...
CIKM
2007
Springer
14 years 1 months ago
2007
Springer
Traditional adaptive filtering systems learn the user’s interests in a rather simple way – words from relevant documents are favored in the query model, while words from irre...
SP
2010
IEEE
13 years 11 months ago
2010
IEEE
—Social networking sites such as Facebook, LinkedIn, and Xing have been reporting exponential growth rates. These sites have millions of registered users, and they are interestin...