Optimal aggregation algorithms for middleware
PODS '01 Proceedings of the twentieth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
User Modeling and User-Adapted Interaction
Multiple feature fusion for social media applications
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Social bookmark weighting for search and recommendation
The VLDB Journal — The International Journal on Very Large Data Bases
Fusing Recommendations for Social Bookmarking Web Sites
International Journal of Electronic Commerce
RecDB in action: recommendation made easy in relational databases
Proceedings of the VLDB Endowment
CooL-AgentSpeak: Endowing AgentSpeak-DL agents with plan exchange and ontology services
Web Intelligence and Agent Systems
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We present X.QUI.SITE, a scalable system for managing recommendations for social tagging sites like del.icio.us. seamlessly incorporates various user behaviors into the recommendations and aims to recommend not only items of interest, but also other relevant information like interesting people and/or topics. Explanations are also provided so that users can obtain a better understanding of the recommendations and decide which recommendations to pursue further. We discuss the technical challenges involved in characterizing different user behaviors and in efficiently computing recommendation explanations.