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» Adapting Recommendations Organization to User Preferences
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CORR
2011
Springer
166views Education» more  CORR 2011»
12 years 11 months ago
A Personalized System for Conversational Recommendations
Searching for and making decisions about information is becoming increasingly difficult as the amount of information and number of choices increases. Recommendation systems help ...
Mehmet H. Göker, Pat Langley, Cynthia A. Thom...
KI
2002
Springer
13 years 7 months ago
Adaptivity through Unobstrusive Learning
In this paper, we present an approach for learning interest profiles implicitly from positive user observations only. This approach eliminates the need to prompt users for ratings...
Ingo Schwab, Alfred Kobsa
SIVP
2010
164views more  SIVP 2010»
13 years 5 months ago
Adaptive and personalized multimedia content delivery for disabled users in Internet TV
This paper aims at the delivery of adaptive and personalized multimedia content in interactive IPTV environments, using programmable IP services through the MPEG-21 standard, suppo...
Ioannis Anagnostopoulos, Christos-Nikolaos Anagnos...
DEXA
2009
Springer
175views Database» more  DEXA 2009»
14 years 2 months ago
RoK: Roll-Up with the K-Means Clustering Method for Recommending OLAP Queries
Dimension hierarchies represent a substantial part of the data warehouse model. Indeed they allow decision makers to examine data at different levels of detail with On-Line Analyt...
Fadila Bentayeb, Cécile Favre
JCDL
2005
ACM
95views Education» more  JCDL 2005»
14 years 1 months ago
Link prediction approach to collaborative filtering
Recommender systems can provide valuable services in a digital library environment, as demonstrated by its commercial success in book, movie, and music industries. One of the most...
Zan Huang, Xin Li, Hsinchun Chen