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KDD
2005
ACM
218views Data Mining» more  KDD 2005»
14 years 10 months ago
A maximum entropy web recommendation system: combining collaborative and content features
Web users display their preferences implicitly by navigating through a sequence of pages or by providing numeric ratings to some items. Web usage mining techniques are used to ext...
Xin Jin, Yanzan Zhou, Bamshad Mobasher
CORR
2004
Springer
208views Education» more  CORR 2004»
13 years 9 months ago
Business Intelligence from Web Usage Mining
The rapid e-commerce growth has made both business community and customers face a new situation. Due to intense competition on the one hand and the customer's option to choose...
Ajith Abraham
ICDM
2006
IEEE
116views Data Mining» more  ICDM 2006»
14 years 3 months ago
Improving Personalization Solutions through Optimal Segmentation of Customer Bases
On the Web, where the search costs are low and the competition is just a mouse click away, it is crucial to segment the customers intelligently in order to offer more targeted and...
Tianyi Jiang, Alexander Tuzhilin
SIGKDD
2000
92views more  SIGKDD 2000»
13 years 9 months ago
WEBKDD 2000 - Web Mining for E-Commerce
In this paper, we provide a summary of the WEBKDD 2000 workshop, whose theme was `Web Mining for E-Commerce'. This workshop was held in conjunction with the ACM SIGKDD Intern...
Myra Spiliopoulou, Jaideep Srivastava, Ron Kohavi,...
ATAL
2005
Springer
14 years 3 months ago
Implicit: an agent-based recommendation system for web search
The number of web pages available on Internet increases day after day, and consequently finding relevant information becomes more and more a hard task. However, when we consider ...
Aliaksandr Birukou, Enrico Blanzieri, Paolo Giorgi...