Sciweavers

WWW
2010
ACM
13 years 11 months ago
Web-scale k-means clustering
We present two modifications to the popular k-means clustering algorithm to address the extreme requirements for latency, scalability, and sparsity encountered in user-facing web...
D. Sculley
WWW
2010
ACM
13 years 11 months ago
Autonomous resource provisioning for multi-service web applications
Dynamic resource provisioning aims at maintaining the endto-end response time of a web application within a predefined SLA. Although the topic has been well studied for monolithi...
Dejun Jiang, Guillaume Pierre, Chi-Hung Chi
WWW
2010
ACM
13 years 11 months ago
Caching search engine results over incremental indices
Roi Blanco, Edward Bortnikov, Flavio Junqueira, Ro...
WWW
2010
ACM
13 years 11 months ago
Expressive auctions for externalities in online advertising
When online ads are shown together, they compete for user attention and conversions, imposing negative externalities on each other. While the competition for user attention in spo...
Arpita Ghosh, Amin Sayedi
WWW
2010
ACM
13 years 11 months ago
Automated performance assessment for service-oriented middleware: a case study on BPEL engines
Middleware for Web service compositions, such as BPEL engines, provides the execution environment for services as well as additional functionalities, such as monitoring and self-t...
Domenico Bianculli, Walter Binder, Mauro Luigi Dra...
WWW
2010
ACM
13 years 11 months ago
Scalable discovery of contradictions on the web
Our study addresses the problem of large-scale contradiction detection and management, from data extracted from the Web. We describe the first systematic solution to the problem,...
Mikalai Tsytsarau, Themis Palpanas, Kerstin Deneck...
WWW
2010
ACM
13 years 11 months ago
Mind the data skew: distributed inferencing by speeddating in elastic regions
Semantic Web data exhibits very skewed frequency distributions among terms. Efficient large-scale distributed reasoning methods should maintain load-balance in the face of such hi...
Spyros Kotoulas, Eyal Oren, Frank van Harmelen
WWW
2010
ACM
13 years 11 months ago
How much is your personal recommendation worth?
Suppose you buy a new laptop and, simply because you like it so much, you recommend it to friends, encouraging them to purchase it as well. What would be an adequate price for the...
Paul Dütting, Monika Henzinger, Ingmar Weber
WWW
2010
ACM
13 years 11 months ago
Factorizing personalized Markov chains for next-basket recommendation
Recommender systems are an important component of many websites. Two of the most popular approaches are based on matrix factorization (MF) and Markov chains (MC). MF methods learn...
Steffen Rendle, Christoph Freudenthaler, Lars Schm...