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JCP
2006
117views more  JCP 2006»
13 years 7 months ago
Empirical Analysis of Attribute-Aware Recommender System Algorithms Using Synthetic Data
As the amount of online shoppers grows rapidly, the need of recommender systems for e-commerce sites are demanding, especially when the number of users and products being offered o...
Karen H. L. Tso, Lars Schmidt-Thieme
DOLAP
2010
ACM
13 years 5 months ago
Integrating OLAP and recommender systems: an evaluation perspective
The integration of OLAP with web-search technologies is a promising research topic. Recommender systems are popular web-search mechanisms, because they can address information ove...
Artus Krohn-Grimberghe, Alexandros Nanopoulos, Lar...
SIGIR
2012
ACM
11 years 10 months ago
Predicting the ratings of multimedia items for making personalized recommendations
Existing multimedia recommenders suggest a specific type of multimedia items rather than items of different types personalized for a user based on his/her preference. Assume tha...
Rani Qumsiyeh, Yiu-Kai Ng
IUI
2005
ACM
14 years 1 months ago
Improving proactive information systems
Proactive contextual information systems help people locate information by automatically suggesting potentially relevant resources based on their current tasks or interests. Such ...
Daniel Billsus, David M. Hilbert, Dan Maynes-Aminz...
ICDE
2009
IEEE
100views Database» more  ICDE 2009»
14 years 9 months ago
Recommendation Diversification Using Explanations
Abstract-- We introduce the novel notion of explanationbased diversification to address the well-known problem of overspecialization in item recommendations. Over-specialization in...
Cong Yu, Laks V. S. Lakshmanan, Sihem Amer-Yahia