Publikation: Factor Models for Recommending Given Names
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2013
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DOERFEL, Stefan, ed. and others. 20 DC1 3 ECML PKDD Discovery Challenge - Recommending Given Names : International Workshop at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases ; Prague, Czech Republic, September 27 th, 2013. Aachen: RWTH, 2013, pp. 81-89. CEUR Workshop Proceedings. 1120. ISSN 1613-0073
Zusammenfassung
We describe in this paper our contribution to the ECML PKDD Discovery Challenge 2013 (O ine Track). This years task was to predict the next given names a user of a name search engine interacts with. We model the user preferences with a sequential factor model that we optimize with respect to the Bayesian Personalized Ranking (BPR) Optimization Criterion. Therefore we complement the sequential factor model with pre x smoothing in order to explicitly model syntactical similarity.
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004 Informatik
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20DC13 ECML PKDD Discovery Challenge, 27. Sept. 2013, Prague, Czech Republic
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BAYER, Immanuel, Steffen RENDLE, 2013. Factor Models for Recommending Given Names. 20DC13 ECML PKDD Discovery Challenge. Prague, Czech Republic, 27. Sept. 2013. In: DOERFEL, Stefan, ed. and others. 20 DC1 3 ECML PKDD Discovery Challenge - Recommending Given Names : International Workshop at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases ; Prague, Czech Republic, September 27 th, 2013. Aachen: RWTH, 2013, pp. 81-89. CEUR Workshop Proceedings. 1120. ISSN 1613-0073BibTex
@inproceedings{Bayer2013Facto-26476, year={2013}, title={Factor Models for Recommending Given Names}, url={http://dx.doi.org/urn:nbn:de:0074-1120-9}, number={1120}, issn={1613-0073}, publisher={RWTH}, address={Aachen}, series={CEUR Workshop Proceedings}, booktitle={20 DC1 3 ECML PKDD Discovery Challenge - Recommending Given Names : International Workshop at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases ; Prague, Czech Republic, September 27 th, 2013}, pages={81--89}, editor={Doerfel, Stefan}, author={Bayer, Immanuel and Rendle, Steffen} }
RDF
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