1541 search results - page 100 / 309 » Predicting user interests from contextual information |
WKDD
2010
CPS
15 years 3 months ago
2010
CPS
—Recommender systems apply machine learning techniques for filtering unseen information and can predict whether a user would like a given resource. There are three main types of...
INTETAIN
2005
Springer
15 years 3 months ago
2005
Springer
In this paper we investigate the role of user emotions in human-machine goal-oriented conversations. There has been a growing interest in predicting emotions from acted and non-act...
102
click to vote
WAW
2010
Springer
14 years 7 months ago
2010
Springer
We study the effect of information overload on user engagement in an asymmetric social network like Twitter. We introduce simple game-theoretic models that capture rate competition...
CIKM
2008
Springer
14 years 12 months ago
2008
Springer
I report briefly on some of my own work in each of these areas and elucidate some of the questions that this research has raised. Then I propose as a research agenda the developme...
VL
2009
IEEE
15 years 4 months ago
2009
IEEE
Repositories of code written by end-user programmers are beginning to emerge, but when a piece of code is new or nobody has yet reused it, then current repositories provide users ...