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SIGIR
2012
ACM
6 years 9 months ago
Search, interrupted: understanding and predicting search task continuation
Many important search tasks require multiple search sessions to complete. Tasks such as travel planning, large purchases, or job searches can span hours, days, or even weeks. Inev...
Eugene Agichtein, Ryen W. White, Susan T. Dumais, ...
CIKM
2011
Springer
7 years 7 months ago
Exploiting longer cycles for link prediction in signed networks
We consider the problem of link prediction in signed networks. Such networks arise on the web in a variety of ways when users can implicitly or explicitly tag their relationship w...
Kai-Yang Chiang, Nagarajan Natarajan, Ambuj Tewari...
MOBISYS
2011
ACM
7 years 10 months ago
AppJoy: personalized mobile application discovery
The explosive growth of the mobile application market has made it a significant challenge for the users to find interesting applications in crowded App Stores. To alleviate this...
Bo Yan, Guanling Chen
DATE
2010
IEEE
261views Hardware» more  DATE 2010»
9 years 10 days ago
Evaluation and design exploration of solar harvested-energy prediction algorithm
Abstract—To respond to variations in solar energy, harvestedenergy prediction is essential to harvested-energy management approaches. The effectiveness of such approaches is depe...
Mustafa Imran Ali, Bashir M. Al-Hashimi, Joaqu&iac...
IFIP
2004
Springer
9 years 19 days ago
802.11 Link Quality and Its Prediction - An Experimental Study
Abstract. Reliable link quality prediction is an imperative for the efficient operation of mobile ad-hoc wireless networks (MANETs). In this paper it is shown that popular link qua...
Gregor Gaertner, Eamonn ONuallain, Andrew Butterly...
GLOBECOM
2006
IEEE
9 years 1 months ago
Exploiting Spatio-Temporal Correlations in MIMO Wireless Channel Prediction
— We investigate prediction algorithms that exploit both temporal and spatial correlations in MIMO correlated narrowband fading wireless channels. We first derive the optimal tw...
Ian C. Wong, Brian L. Evans
IRI
2007
IEEE
9 years 1 months ago
Adapting Ratings in Memory-Based Collaborative Filtering using Linear Regression
We show that the standard memory-based collaborative filtering rating prediction algorithm using the Pearson correlation can be improved by adapting user ratings using linear reg...
Jérôme Kunegis, Sahin Albayrak
ICDE
2009
IEEE
157views Database» more  ICDE 2009»
9 years 9 months ago
A Rule-Based Classification Algorithm for Uncertain Data
Abstract-- Data uncertainty is common in real-world applications due to various causes, including imprecise measurement, network latency, outdated sources and sampling errors. Thes...
Biao Qin, Yuni Xia, Sunil Prabhakar, Yi-Cheng Tu
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