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WWW
2009
ACM
14 years 11 months ago
Predicting click through rate for job listings
Click Through Rate (CTR) is an important metric for ad systems, job portals, recommendation systems. CTR impacts publisher's revenue, advertiser's bid amounts in "p...
Manish S. Gupta
WWW
2009
ACM
14 years 11 months ago
Towards context-aware search by learning a very large variable length hidden markov model from search logs
Capturing the context of a user's query from the previous queries and clicks in the same session may help understand the user's information need. A context-aware approac...
Huanhuan Cao, Daxin Jiang, Jian Pei, Enhong Chen, ...
WWW
2009
ACM
14 years 11 months ago
Retaining personal expression for social search
Web is being extensively used for personal expression, which includes ratings, reviews, recommendations, blogs. This user created content, e.g. book review on Amazon.com, becomes ...
Praphul Chandra, Ajay Gupta
WWW
2009
ACM
14 years 11 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
WWW
2008
ACM
14 years 11 months ago
Improving personalized services in mobile commerce by a novel multicriteria rating approach
With the rapid growth of wireless technologies and mobile devices, there is a great demand for personalized services in mcommerce. Collaborative filtering (CF) is one of successfu...
Qiudan Li, Chunheng Wang, Guanggang Geng