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of 57
pro vyhledávání: '"Anand, Sarabjot Singh"'
Autor:
Landia, Nikolas, Doerfel, Stephan, Jäschke, Robert, Anand, Sarabjot Singh, Hotho, Andreas, Griffiths, Nathan
The information contained in social tagging systems is often modelled as a graph of connections between users, items and tags. Recommendation algorithms such as FolkRank, have the potential to leverage complex relationships in the data, corresponding
Externí odkaz:
http://arxiv.org/abs/1310.1498
Akademický článek
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Publikováno v:
Workshop on Context-Aware Recommender Systems (CARS-2009)
The last few years have seen an increased interest in incorporating context within recommender systems. However, little empirical evidence has emerged to support the premise that context can actually improve recommendation accuracy. Indeed little agr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::7d5cbf8bb1732d37071e233a4a70625d
Autor:
Li, Tao, Anand, Sarabjot Singh
Publikováno v:
The First International Conference on Intelligent Networks and Intelligent Systems
The proliferation of multi-type relational datasets in a number of important real-world applications and the limitations resulting from the transformation of such datasets to fit propositional data mining approaches have led to the emergence of the d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::6cd9254b433a51d7ff64482d05ed3496
http://wrap.warwick.ac.uk/60687/1/WRAP_Anand_iisn.pdf
http://wrap.warwick.ac.uk/60687/1/WRAP_Anand_iisn.pdf
Autor:
Li, Tao, Anand, Sarabjot Singh
Publikováno v:
Proceedings of The 2008 International Conference on Data Mining (DMIN 2008)
Taxonomy construction provides an efficient navigating and browsing mechanism to people by organizing large amounts of information into a small number of hierarchical clusters. Compared with manually editing taxonomies, Automated Taxonomy Generation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::6a7861ec0de0f9cad4c4f5fa03940bac
http://wrap.warwick.ac.uk/60546/1/WRAP_Anand_dmi5480.pdf
http://wrap.warwick.ac.uk/60546/1/WRAP_Anand_dmi5480.pdf
Autor:
Achtner, Wolfgang, Aimeur, Esma, Anand, Sarabjot Singh, Appelt, Doug, Ashish, Naveen, Barnes, Tiffany, Beck, Joseph E., Dias, M. Bernardine, Doshi, Prashant, Drummond, Chris, Elazmeh, William, Felner, Ariel, Freitag, Dayne, Geffner, Hector, Geib, Christopher W., Goodwin, Richard, Holte, Robert C., Hutter, Frank, Isaac, Fair, Japkowicz, Nathalie, Kaminka, Gal A., Koenig, Sven, Lagoudakis, Michail G., Leake, David B., Lewis, Lundy, Liu, Hugo, Metzler, Ted, Mihalcea, Rada, Mobasher, Bamshad, Poupart, Pascal, Pynadath, David V., Roth-Berghofer, Thomas, Ruml, Wheeler, Schulz, Stefan, Schwarz, Sven, Seneff, Stephanie, Sheth, Amit, Sun, Ron, Thielscher, Michael, Upal, Afzal, Williams, Jason, Young, Steve, Zelenko, Dmitry
Publikováno v:
AI Magazine; Vol 27, No 4: Winter 2006; 92
The Workshop program of the Twenty-First Conference on Artificial Intelligence was held July 16-17, 2006 in Boston, Massachusetts. The program was chaired by Joyce Chai and Keith Decker. The titles of the 17 workshops were AIDriven Technologies for S
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=issn07384602::e734261abf8e7378fad25b468cc00158
http://aaai.org/ojs/index.php/aimagazine/article/view/1912
http://aaai.org/ojs/index.php/aimagazine/article/view/1912
Akademický článek
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Akademický článek
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Publikováno v:
Proceedings of the Fifth ACM Conference: Recommender Systems; Oct2011, p205-212, 8p