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- research-articleOctober 2016
Efficient Computation of Importance Based Communities in Web-Scale Networks Using a Single Machine
CIKM '16: Proceedings of the 25th ACM International on Conference on Information and Knowledge ManagementPages 1553–1562https://doi.org/10.1145/2983323.2983836Finding decompositions of a graph into a family of communities is crucial to understanding its underlying structure. Algorithms for finding communities in networks often rely only on structural information and search for cohesive subsets of nodes. In ...
- research-articleOctober 2016
Compression-Based Selective Sampling for Learning to Rank
CIKM '16: Proceedings of the 25th ACM International on Conference on Information and Knowledge ManagementPages 247–256https://doi.org/10.1145/2983323.2983813Learning to rank (L2R) algorithms use a labeled training set to generate a ranking model that can be later used to rank new query results. These training sets are very costly and laborious to produce, requiring human annotators to assess the relevance or ...
- research-articleOctober 2016
BICP: Block-Incremental CP Decomposition with Update Sensitive Refinement
CIKM '16: Proceedings of the 25th ACM International on Conference on Information and Knowledge ManagementPages 1221–1230https://doi.org/10.1145/2983323.2983717With many applications relying on multi-dimensional datasets for decision making, tensors (or multi-dimensional arrays) are emerging as a popular data representation to support diverse types of data, such as sensor streams and social networks. ...