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» Relevance and Reinforcement in Interactive Browsing
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CHI
2007
ACM
14 years 5 months ago
SocialBrowsing: integrating social networks and web browsing
In this paper we introduce SocialBrowsing, a Firefox extension that adds social context to the web browsing experience. The extension is paired with services provided by social ne...
Jennifer Golbeck, Michael M. Wasser
ICCV
2003
IEEE
13 years 10 months ago
Reinforcement Learning for Combining Relevance Feedback Techniques
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...
Peng-Yeng Yin, Bir Bhanu, Kuang-Cheng Chang, Anlei...
ACMICEC
2008
ACM
272views ECommerce» more  ACMICEC 2008»
13 years 7 months ago
Adapting the interaction state model in conversational recommender systems
Conventional conversational recommender systems support interaction strategies that are hard-coded into the system in advance. In this context, Reinforcement Learning techniques h...
Tariq Mahmood, Francesco Ricci
ICIP
2003
IEEE
14 years 7 months ago
Rate-distortion optimized interactive browsing of JPEG2000 images
This paper is concerned with remote browsing of JPEG2000 compressed imagery. A potentially interactive client identifies a region and maximum resolution of interest. The server re...
David Taubman, René Rosenbaum
CHI
2001
ACM
14 years 5 months ago
Accordion summarization for end-game browsing on PDAs and cellular phones
We demonstrate a new browsing technique for devices with small displays such as PDAs or cellular phones. We concentrate on end-game browsing, where the user is close to or on the ...
Orkut Buyukkokten, Hector Garcia-Molina, Andreas P...