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KDD
2002
ACM
293views Data Mining» more  KDD 2002»
14 years 10 months ago
Automatic Categorization of Web Pages and User Clustering with Mixtures of Hidden Markov Models
We propose mixtures of hidden Markov models for modelling clickstreams of web surfers. Hence, the page categorization is learned from the data without the need for a (possibly cumb...
Alexander Ypma, Tom Heskes
KDD
2002
ACM
115views Data Mining» more  KDD 2002»
14 years 10 months ago
Collaborative crawling: mining user experiences for topical resource discovery
The rapid growth of the world wide web had made the problem of topic speci c resource discovery an important one in recent years. In this problem, it is desired to nd web pages wh...
Charu C. Aggarwal
FQAS
2009
Springer
186views Database» more  FQAS 2009»
13 years 8 months ago
Dynamically Personalizing Search Results for Mobile Users
Abstract. We introduce a novel situation-aware approach to personalize search results for mobile users. By providing a mobile user with appropriate information that dynamically sat...
Ourdia Bouidghaghen, Lynda Tamine-Lechani, Mohand ...
EAGC
2003
Springer
14 years 3 months ago
Mobile Work Environment for Grid Users
In the paper we aim to describe the project developing the Migrating Desktop infrastructure for the mobile users in a simple way. We also focus on the development testbed, which i...
Miroslaw Kupczyk, Rafal Lichwala, Norbert Meyer, B...
HT
2010
ACM
14 years 3 days ago
Connecting users and items with weighted tags for personalized item recommendations
1 Tags are an important information source in Web 2.0. They can be used to describe users’ topic preferences as well as the content of items to make personalized recommendations....
Huizhi Liang, Yue Xu, Yuefeng Li, Richi Nayak, Xia...