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» Supporting User Query Relaxation in a Recommender System
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UM
2010
Springer
15 years 2 months ago
Eye-Tracking Study of User Behavior in Recommender Interfaces
Recommender systems, as a type of Web personalized service to support users’ online product searching, have been widely developed in recent years but with primary emphasis on alg...
Li Chen, Pearl Pu
ICEIS
2009
IEEE
15 years 1 months ago
Applying Recommendation Technology in OLAP Systems
OLAP systems offering multidimensional and large information space cannot solely rely on standard navigation but need to apply recommendations to make the analysis process easy and...
Houssem Jerbi, Franck Ravat, Olivier Teste, Gilles...
DEXA
2009
Springer
175views Database» more  DEXA 2009»
15 years 10 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
CIKM
2011
Springer
14 years 4 months ago
ReDRIVE: result-driven database exploration through recommendations
Typically, users interact with database systems by formulating queries. However, many times users do not have a clear understanding of their information needs or the exact content...
Marina Drosou, Evaggelia Pitoura
EEE
2005
IEEE
15 years 9 months ago
Feature Selection Methods for Conversational Recommender Systems
This paper focuses on question selection methods for conversational recommender systems. We consider a scenario, where given an initial user query, the recommender system may ask ...
Nader Mirzadeh, Francesco Ricci, Mukesh Bansal