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ACMICEC
2008
ACM
272views ECommerce» more  ACMICEC 2008»
13 years 9 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
WETICE
2006
IEEE
14 years 1 months ago
A Trust-enabled P2P Recommender System
In this paper we present a trust-oriented method that can be used when building P2P recommender systems. We discuss its benefits in comparison to centralized solutions, its requir...
Georgios Pitsilis, Lindsay Marshall
IUI
2000
ACM
13 years 11 months ago
A recipe based on-line food store
In this paper we present a recommender system design for recipe based on-line food shopping. Our system differs in two major ways from existing system. First we use an editor that...
Martin Svensson, Jarmo Laaksolahti, Kristina H&oum...
RTAS
1998
IEEE
13 years 11 months ago
Using Windows NT for Real-Time Applications: Experimental Observations and Recommendations
Windows NT was not designed as a real-time operating system, but market forces and the acceptance of NT in industrial applications have generated a need for achieving real-time fu...
Krithi Ramamritham, Chia Shen, Oscar Gonzál...
WWW
2009
ACM
14 years 8 months ago
Buzz-based recommender system
In this paper, we describe a buzz-based recommender system based on a large source of queries in an eCommerce application. The system detects bursts in query trends. These bursts ...
Nish Parikh, Neel Sundaresan