Diverse Set Selection Over Dynamic Data
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: 2014DOI: 10.1109/TKDE.2013.44
Keyword(s): Internet,computational complexity,database management systems,human factors,information filtering,optimisation,recommender systems,tree data structures,NP-hard diversification problem,continuity requirements,continuous k-diversity problem,cover tree solution,database search,dynamic item deletion,dynamic item insertion,indexing methods,information filtering,k-most diverse item selection,real datasets,recommender systems,synthetic datasets,user satisfaction,Approximation algo
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Diverse Set Selection Over Dynamic Data
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| contributor author | Drosou, Marina | |
| contributor author | Pitoura, Evaggelia | |
| date accessioned | 2020-03-12T18:22:06Z | |
| date available | 2020-03-12T18:22:06Z | |
| date issued | 2014 | |
| identifier issn | 1041-4347 | |
| identifier other | 6477041.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/956114 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Diverse Set Selection Over Dynamic Data | |
| type | Journal Paper | |
| contenttype | Metadata Only | |
| identifier padid | 7988043 | |
| subject keywords | Internet | |
| subject keywords | computational complexity | |
| subject keywords | database management systems | |
| subject keywords | human factors | |
| subject keywords | information filtering | |
| subject keywords | optimisation | |
| subject keywords | recommender systems | |
| subject keywords | tree data structures | |
| subject keywords | NP-hard diversification problem | |
| subject keywords | continuity requirements | |
| subject keywords | continuous k-diversity problem | |
| subject keywords | cover tree solution | |
| subject keywords | database search | |
| subject keywords | dynamic item deletion | |
| subject keywords | dynamic item insertion | |
| subject keywords | indexing methods | |
| subject keywords | information filtering | |
| subject keywords | k-most diverse item selection | |
| subject keywords | real datasets | |
| subject keywords | recommender systems | |
| subject keywords | synthetic datasets | |
| subject keywords | user satisfaction | |
| subject keywords | Approximation algo | |
| identifier doi | 10.1109/TKDE.2013.44 | |
| journal title | Knowledge and Data Engineering, IEEE Transactions on | |
| journal volume | 26 | |
| journal issue | 5 | |
| filesize | 3297661 | |
| citations | 0 |