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» Modeling and predicting user behavior in sponsored search
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ICCV
2009
IEEE
1190views Computer Vision» more  ICCV 2009»
15 years 20 days ago
You'll never walk alone: modeling social behavior for multi-target tracking
Object tracking typically relies on a dynamic model to predict the object’s location from its past trajectory. In crowded scenarios a strong dynamic model is particularly impo...
S. Pellegrini, A. Ess, K. Schindler, L. van Gool
HICSS
2003
IEEE
111views Biometrics» more  HICSS 2003»
14 years 29 days ago
Modeling the User Acceptance of E-Mail
The Technology Acceptance Model (TAM) predicts whether users will ultimately use software applications based upon causal relationships among belief and attitudinal constructs that...
Geoffrey S. Hubona, Andrew Burton-Jones
KDD
2009
ACM
232views Data Mining» more  KDD 2009»
14 years 7 days ago
Probabilistic latent semantic user segmentation for behavioral targeted advertising
Behavioral Targeting (BT), which aims to deliver the most appropriate advertisements to the most appropriate users, is attracting much attention in online advertising market. A ke...
Xiaohui Wu, Jun Yan, Ning Liu, Shuicheng Yan, Ying...
WWW
2009
ACM
14 years 8 months ago
Unsupervised query categorization using automatically-built concept graphs
Automatic categorization of user queries is an important component of general purpose (Web) search engines, particularly for triggering rich, query-specific content and sponsored ...
Eustache Diemert, Gilles Vandelle
ACMSE
2010
ACM
13 years 5 months ago
Mobile web search personalization using ontological user profile
Most present day search engines have a deterministic behavior in the sense that they return the same search results for all users who submit the same query at a certain time. They...
Kapil Goenka, Ismailcem Budak Arpinar, Mustafa Nur...