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FLAIRS
2004
14 years 11 months ago
Personalization Using Hybrid Data Mining Approaches in E-Business Applications
Effective personalization is greatly demanded in highly heterogeneous and diverse e-commerce domain. In our approach we rely on the idea that an effective personalization techniqu...
Olena Parkhomenko, Yugyung Lee, Chintan Patel
LREC
2010
251views Education» more  LREC 2010»
14 years 11 months ago
Extracting Product Features and Sentiments from Chinese Customer Reviews
With the growing interest in opinion mining from web data, more works are focused on mining in English and Chinese reviews. Probing into the problem of product opinion mining, thi...
Shu Zhang, Wen-Jie Jia, Yingju Xia, Yao Meng, Hao ...
KDD
2009
ACM
305views Data Mining» more  KDD 2009»
15 years 10 months ago
Grocery shopping recommendations based on basket-sensitive random walk
We describe a recommender system in the domain of grocery shopping. While recommender systems have been widely studied, this is mostly in relation to leisure products (e.g. movies...
Ming Li, M. Benjamin Dias, Ian H. Jarman, Wael El-...
ICDM
2006
IEEE
161views Data Mining» more  ICDM 2006»
15 years 3 months ago
Personalization in Context: Does Context Matter When Building Personalized Customer Models?
The idea that context is important when predicting customer behavior has been maintained by scholars in marketing and data mining. However, no systematic study measuring how much ...
Michele Gorgoglione, Cosimo Palmisano, Alexander T...
ICDM
2007
IEEE
136views Data Mining» more  ICDM 2007»
15 years 3 months ago
Dynamic Micro Targeting: Fitness-Based Approach to Predicting Individual Preferences
It is crucial to segment customers intelligently in order to offer more targeted and personalized products and services. Traditionally, customer segmentation is achieved using sta...
Tianyi Jiang, Alexander Tuzhilin