| | 1 | = DeliciousCluster - solution for large tag sets = |
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| | 3 | Growing number of tags can pretty quickly become a nightmare for active users. |
| | 4 | Within just one year of heavy use of systems like del.icio.us one can aggregate over 1000 bookmarks with more than 300 tags. |
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| | 6 | DeliciousCluster is a smart, lightweight, extensible library for clustering user's tags from tagging sources, such as del.icio.us. |
| | 7 | It takes a flat list of tags (or more precisely a tag multiset) and attempts to deliver a hierarchical tag multiset, hence limiting the number of tags rendered at the highest level. |
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| | 9 | As an example, DeliciousCluster uses simple text similarity metrics to perform clustering. However, the library allows to easily replace this naive approach with more thorough similarity measures and clustering algorithms. |
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| | 11 | This project has been based on the code contributed within the TagsTreeMaps project under the Corrib license owned by DERI, NUI Galway. |
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| | 13 | The TagsTreeMaps project delivered a component for more efficient filtering of tagging space, using del.icio.us as an proof-of-concept service. |
| | 14 | The clustering algorithm has been however tightly integrated into the TagsTreeMaps prototype making it virtually impossible in other projects. |
| | 15 | We have extracted and reworked parts of the algorithm to improve importing and clustering procedure and to simplify the use of this algorithms in external projects. |
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