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ICDIM
2007
IEEE
14 years 2 months ago
Exploiting multi-evidence from multiple user's interests to personalizing information retrieval
The goal of personalization in information retrieval is to tailor the search engine results to the specific goals, preferences and general interests of the users. We propose a no...
Lynda Tamine-Lechani, Mohand Boughanem, Nesrine Ze...
MASCOTS
2007
13 years 9 months ago
Uncovering the Effect of System Performance on User Behavior from Traces of Parallel Systems
—Intuitively, it seems that understanding how the performance of a system affects its users requires research in psychology and the conducting of live experiments. We demonstrate...
Edi Shmueli, Dror G. Feitelson
ACL
2010
13 years 5 months ago
Growing Related Words from Seed via User Behaviors: A Re-Ranking Based Approach
Motivated by Google Sets, we study the problem of growing related words from a single seed word by leveraging user behaviors hiding in user records of Chinese input method. Our pr...
Yabin Zheng, Zhiyuan Liu, Lixing Xie
IFIP12
2009
13 years 5 months ago
Learning Rules from User Behaviour
Pervasive computing requires infrastructures that adapt to changes in user behaviour while minimising user interactions. Policy-based approaches have been proposed as a means of pr...
Domenico Corapi, Oliver Ray, Alessandra Russo, Aro...
KDD
2009
ACM
257views Data Mining» more  KDD 2009»
14 years 2 months ago
Argo: intelligent advertising by mining a user's interest from his photo collections
In this paper, we introduce a system named Argo which provides intelligent advertising made possible from users’ photo collections. Based on the intuition that user-generated ph...
Xin-Jing Wang, Mo Yu, Lei Zhang, Rui Cai, Wei-Ying...