Optimal aggregation algorithms for middleware
PODS '01 Proceedings of the twentieth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Document clustering based on non-negative matrix factorization
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Information diffusion through blogspace
Proceedings of the 13th international conference on World Wide Web
Non-negative Matrix Factorization with Sparseness Constraints
The Journal of Machine Learning Research
Constrained optimalities in query personalization
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Approximately Processing Multi-granularity Aggregate Queries over Data Streams
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
A probabilistic approach to spatiotemporal theme pattern mining on weblogs
Proceedings of the 15th international conference on World Wide Web
Automatic identification of user interest for personalized search
Proceedings of the 15th international conference on World Wide Web
Supporting ad-hoc ranking aggregates
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
On-the-fly sharing for streamed aggregation
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Orthogonal nonnegative matrix t-factorizations for clustering
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Google news personalization: scalable online collaborative filtering
Proceedings of the 16th international conference on World Wide Web
Supporting ranking and clustering as generalized order-by and group-by
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Applying collaborative filtering techniques to movie search for better ranking and browsing
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Mining correlated bursty topic patterns from coordinated text streams
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Projected Gradient Methods for Nonnegative Matrix Factorization
Neural Computation
Event detection in blogs using temporal random indexing
eETTs '09 Proceedings of the Workshop on Events in Emerging Text Types
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There is an exploding amount of user-generated content on theWeb due to the emergence of "Web 2.0" services, such as Blogger,MySpace, Flickr, and del.icio.us. The participation of a large number of users in sharing their opinion on the Web has inspired researchers to build an effective "information filter" by aggregating these independent opinions. However, given the diverse groups of users on the Web nowadays, the global aggregation of the information may not be of much interest to different groups of users. In this paper, we explore the possibility of computing personalized aggregation over the opinions expressed on the Web based on a user's indication of trust over the information sources. The hope is that by employing such "personalized" aggregation, we can make the recommendation more likely to be interesting to the users. We address the challenging scalability issues by proposing an efficient method, that utilizes two core techniques: Non-Negative Matrix Factorization and Threshold Algorithm, to compute personalized aggregations when there are potentially millions of users and millions of sources within a system. We show that, through experiments on real-life dataset, our personalized aggregation approach indeed makes a significant difference in the items that are recommended and it reduces the query computational cost significantly, often more than 75%, while the result of personalized aggregation is kept accurate enough.