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» User experience over time: an initial framework
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AH
2006
Springer
15 years 5 months ago
A Comparative Study of Compound Critique Generation in Conversational Recommender Systems
Abstract. Critiquing techniques provide an easy way for users to feedback their preferences over one or several attributes of the products in a conversational recommender system. W...
Jiyong Zhang, Pearl Pu
TWC
2008
98views more  TWC 2008»
15 years 1 months ago
A Queue-Based Approach to Power Control in Wireless Communication Networks
In modern wireless communication systems, power control plays a fundamental role for efficient resource utilization, in particular in the systems where the users share the same ban...
Luigi Chisci, Romano Fantacci, Lorenzo Mucchi, Tom...
CORR
2002
Springer
132views Education» more  CORR 2002»
15 years 1 months ago
Exploiting Synergy Between Ontologies and Recommender Systems
Recommender systems learn about user preferences over time, automatically finding things of similar interest. This reduces the burden of creating explicit queries. Recommender sys...
Stuart E. Middleton, Harith Alani, David De Roure
MTA
2008
146views more  MTA 2008»
15 years 1 months ago
A survey of browsing models for content based image retrieval
The problem of content based image retrieval (CBIR) has traditionally been investigated within a framework that emphasises the explicit formulation of a query: users initiate an au...
Daniel Heesch
VLDB
1998
ACM
142views Database» more  VLDB 1998»
15 years 5 months ago
On the Discovery of Interesting Patterns in Association Rules
Many decision support systems, which utilize association rules for discovering interesting patterns, require the discovery of association rules that vary over time. Such rules des...
Sridhar Ramaswamy, Sameer Mahajan, Abraham Silbers...