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MOBICOM
2010
ACM
13 years 7 months ago
Profiling users in a 3g network using hourglass co-clustering
With widespread popularity of smart phones, more and more users are accessing the Internet on the go. Understanding mobile user browsing behavior is of great significance for seve...
Ram Keralapura, Antonio Nucci, Zhi-Li Zhang, Lixin...
KDD
2000
ACM
77views Data Mining» more  KDD 2000»
13 years 11 months ago
Small is beautiful: discovering the minimal set of unexpected patterns
A drawback of most traditional data mining methods is that they do not leverage prior knowledge of users. In many business settings, managers and analysts have significant intuiti...
Balaji Padmanabhan, Alexander Tuzhilin
DEXA
2004
Springer
140views Database» more  DEXA 2004»
14 years 24 days ago
Extracting User Behavior by Web Communities Technology on Global Web Logs
A lot of work has been done on extracting the model of web user behavior. Most of them target server-side logs that cannot track user behavior outside of the server. Recently, a no...
Shingo Otsuka, Masashi Toyoda, Jun Hirai, Masaru K...
AIRWEB
2008
Springer
13 years 9 months ago
Identifying web spam with user behavior analysis
Combating Web spam has become one of the top challenges for Web search engines. State-of-the-art spam detection techniques are usually designed for specific known types of Web spa...
Yiqun Liu, Rongwei Cen, Min Zhang, Shaoping Ma, Li...
HCI
2009
13 years 5 months ago
Speech Input from Older Users in Smart Environments: Challenges and Perspectives
Abstract. Although older people are an important user group for smart environments, there has been relatively little work on adapting natural language interfaces to their requireme...
Ravichander Vipperla, Maria Wolters, Kallirroi Geo...