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» Predicting user interests from contextual information
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CHI
2005
ACM
15 years 10 months ago
A comparison of LSA, wordNet and PMI-IR for predicting user click behavior
A predictive tool to simulate human visual search behavior would help interface designers inform and validate their design. Such a tool would benefit from a semantic component tha...
Ishwinder Kaur, Anthony J. Hornof
CHI
2010
ACM
15 years 4 months ago
Short and tweet: experiments on recommending content from information streams
More and more web users keep up with newest information through information streams such as the popular microblogging website Twitter. In this paper we studied content recommendat...
Jilin Chen, Rowan Nairn, Les Nelson, Michael Berns...
PE
2007
Springer
114views Optimization» more  PE 2007»
14 years 9 months ago
Performance analysis of BitTorrent-like systems with heterogeneous users
Among all peer-to-peer (P2P) systems, BitTorrent seems to be the most prevalent one. This success has drawn a great deal of research interest on the system. In particular, there h...
Wei-Cherng Liao, Fragkiskos Papadopoulos, Konstant...
CHI
2009
ACM
15 years 10 months ago
Learning to predict information needs: context-aware display as a cognitive aid and an assessment tool
We discuss the problem of assessing and aiding user performance in dynamic tasks that require rapid selection among multiple information sources. Motivated by research in human se...
Bradley C. Love, Matt Jones, Marc T. Tomlinson, Mi...
CHI
2006
ACM
15 years 10 months ago
Making memories: applying user input logs to interface design and evaluation
In this paper, we describe our approach to designing interface components that automate the logging of user input. These recorded logs of user-system interactions can serve as a b...
Tamara Babaian, Wendy T. Lucas, Heikki Topi