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CHI
2009
ACM
15 years 11 months ago
A personalized walk through the museum: the CHIP interactive tour guide
More and more museums aim at enhancing their visitors' museum experiences in a personalized, intensive and engaging way inside the museum. The CHIP1 (Cultural Heritage Inform...
Ivo Roes, Natalia Stash, Yiwen Wang, Lora Aroyo

Publication
104views
15 years 7 months ago
Finding My Needle in the Haystack: Effective Personalized Re-ranking of Search Results in Prospector
Abstract. This paper provides an overview of Prospector, a personalized Internet meta-search engine, which utilizes a combination of ontological information, ratings-based models o...
Florian König, Lex van Velsen, Alexandros Par...
PAMI
2010
324views more  PAMI 2010»
14 years 9 months ago
A Compositional and Dynamic Model for Face Aging
—In this paper we present a compositional and dynamic model for face aging. The compositional model represents faces in each age group by a hierarchical And-Or graph, in which An...
Jin-Li Suo, Song Chun Zhu, Shiguang Shan, Xilin Ch...
KDD
2005
ACM
192views Data Mining» more  KDD 2005»
15 years 11 months ago
Modeling and predicting personal information dissemination behavior
In this paper, we propose a new way to automatically model and predict human behavior of receiving and disseminating information by analyzing the contact and content of personal c...
Xiaodan Song, Ching-Yung Lin, Belle L. Tseng, Ming...
ICDM
2007
IEEE
136views Data Mining» more  ICDM 2007»
15 years 4 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