294 search results - page 11 / 59 » User Feedback in Probabilistic Integration |
FQAS
2009
Springer
15 years 4 months ago
2009
Springer
Relevance Feedback (RF) is a technique allowing to enrich an initial query according to the user feedback in order to get results closer to the user’s information need. This pape...
107
click to vote
ICCV
2003
IEEE
15 years 5 months ago
2003
IEEE
Relevance feedback (RF) is an interactive process which refines the retrievals by utilizing user’s feedback history. Most researchers strive to develop new RF techniques and ign...
105
click to vote
CISST
2004
15 years 1 months ago
2004
Probabilistic feature relevance learning (PFRL) is an effective method for adaptively computing local feature relevance in content-based image retrieval. It computes flexible retr...
IJCAI
2003
15 years 1 months ago
2003
Personalization actions that tailor the Web experience to a particular user are an integral component of recommender systems. Here, product knowledge - either hand-coded or “mine...
SIGIR
2005
ACM
15 years 5 months ago
2005
ACM
We study a new task, proactive information retrieval by combining implicit relevance feedback and collaborative filtering. We have constructed a controlled experimental setting, ...