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LWA
2007
13 years 6 months ago
Towards Learning User-Adaptive State Models in a Conversational Recommender System
Typical conversational recommender systems support interactive strategies that are hard-coded in advance and followed rigidly during a recommendation session. In fact, Reinforceme...
Tariq Mahmood, Francesco Ricci
KDD
2006
ACM
200views Data Mining» more  KDD 2006»
14 years 5 months ago
A Random-Walk Based Scoring Algorithm Applied to Recommender Engines
Recommender systems are an emerging technology that helps consumers find interesting products and useful resources. A recommender system makes personalized product suggestions by e...
Augusto Pucci, Marco Gori, Marco Maggini
IJCAI
2007
13 years 6 months ago
ItemRank: A Random-Walk Based Scoring Algorithm for Recommender Engines
Recommender systems are an emerging technology that helps consumers to find interesting products. A recommender system makes personalized product suggestions by extracting knowle...
Marco Gori, Augusto Pucci
IUI
2003
ACM
13 years 10 months ago
An adaptive stock tracker for personalized trading advice
The Stock Tracker is an adaptive recommendation system for trading stocks that automatically acquires content-based models of user preferences to tailor its buy and sell advice. T...
Jungsoon P. Yoo, Melinda T. Gervasio, Pat Langley
HCI
2007
13 years 6 months ago
Media Service Mediation Supporting Resident's Collaboration in ubiTV
Abstract. A smart home is an intelligent and shared space, where various services coexist and multiple residents with different preferences and habits share these services most of ...
Choonsung Shin, Hyoseok Yoon, Woontack Woo