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WWW
2009
ACM
14 years 9 months ago
Spatio-temporal models for estimating click-through rate
We propose novel spatio-temporal models to estimate clickthrough rates in the context of content recommendation. We track article CTR at a fixed location over time through a dynam...
Deepak Agarwal, Bee-Chung Chen, Pradheep Elango
PAMI
2012
11 years 11 months ago
Quantifying and Transferring Contextual Information in Object Detection
— Context is critical for reducing the uncertainty in object detection. However, context modelling is challenging because there are often many different types of contextual infor...
Wei-Shi Zheng, Shaogang Gong, Tao Xiang
WKDD
2010
CPS
204views Data Mining» more  WKDD 2010»
14 years 2 months ago
A Scalable, Accurate Hybrid Recommender System
—Recommender systems apply machine learning techniques for filtering unseen information and can predict whether a user would like a given resource. There are three main types of...
Mustansar Ali Ghazanfar, Adam Prügel-Bennett
IDEAS
2006
IEEE
109views Database» more  IDEAS 2006»
14 years 2 months ago
Collaborative Filtering Process in a Whole New Light
Collaborative Filtering (CF) Systems are gaining widespread acceptance in recommender systems and ecommerce applications. These systems combine information retrieval and data mini...
Panagiotis Symeonidis, Alexandros Nanopoulos, Apos...
WWW
2007
ACM
14 years 9 months ago
Learning information intent via observation
Workers in organizations frequently request help from assistants by sending request messages that express information intent: an intention to update data in an information system....
Anthony Tomasic, Isaac Simmons, John Zimmerman