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EUROIMSA
2006
299views Multimedia» more  EUROIMSA 2006»
13 years 9 months ago
Behavior Modeling using Bigram Frequencies for Client-Side Link Prefetching
The perceived latency for a user surfing the Internet is the target of a transparent and speculative algorithm that relies on a user behavior model. The model is based on past use...
Apostolos Georgakis, Haibo Li, Mihaela Gordan
CIKM
2010
Springer
13 years 6 months ago
You are where you tweet: a content-based approach to geo-locating twitter users
We propose and evaluate a probabilistic framework for estimating a Twitter user’s city-level location based purely on the content of the user’s tweets, even in the absence of ...
Zhiyuan Cheng, James Caverlee, Kyumin Lee
DEXA
2004
Springer
140views Database» more  DEXA 2004»
14 years 29 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...
WACV
2005
IEEE
14 years 1 months ago
Learning the Behavior of Users in a Public Space through Video Tracking
The paper describes a video tracking system that tracks and analyzes the behavioral pattern of users in a public space. We have obtained important statistical measurements about u...
Wei Yan, David A. Forsyth
WWW
2007
ACM
14 years 8 months ago
Why we search: visualizing and predicting user behavior
The aggregation and comparison of behavioral patterns on the WWW represent a tremendous opportunity for understanding past behaviors and predicting future behaviors. In this paper...
Eytan Adar, Daniel S. Weld, Brian N. Bershad, Stev...