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» Centering Information Retrieval to the User
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KDD
2009
ACM
232views Data Mining» more  KDD 2009»
15 years 11 months 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...
IMC
2009
ACM
16 years 1 months ago
Characterizing user behavior in online social networks
Understanding how users behave when they connect to social networking sites creates opportunities for better interface design, richer studies of social interactions, and improved ...
Fabrício Benevenuto, Tiago Rodrigues, Meeyo...
MM
2006
ACM
158views Multimedia» more  MM 2006»
16 years 16 days ago
Extreme video retrieval: joint maximization of human and computer performance
We present an efficient system for video search that maximizes the use of human bandwidth, while at the same time exploiting the machine’s ability to learn in real-time from use...
Alexander G. Hauptmann, Wei-Hao Lin, Rong Yan, Jun...
ADL
1998
Springer
178views Digital Library» more  ADL 1998»
15 years 10 months ago
Distributed Digital Library Architecture Incorporating Different Index Styles
The New Zealand Digital Library offers several collections of information over the World Wide Web. Although fulltext indexing is the primary access mechanism, musical collections ...
Rodger J. McNab, Ian H. Witten, Stefan J. Boddie
RECSYS
2009
ACM
16 years 1 months ago
Rate it again: increasing recommendation accuracy by user re-rating
A common approach to designing Recommender Systems (RS) consists of asking users to explicitly rate items in order to collect feedback about their preferences. However, users have...
Xavier Amatriain, Josep M. Pujol, Nava Tintarev, N...