Recommender systems challenge 2012

N. Manouselis; A. Said; D. Tikk; J. Hermanns; B. Kille; H. Drachsler; K. Verbert; K. Jack

doi:10.1145/2365952.2366043

Recommender systems challenge 2012

N. Manouselis, A. Said, D. Tikk, J. Hermanns, B. Kille, H. Drachsler, K. Verbert, K. Jack

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic

10 Citaten (Scopus)

4 Downloads (Pure)

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The Recommender System Challenge 2012 invited participants to work on two tracks with real-world datasets and to submit their contributions that would be related to specific problem contexts. First of all, it asked participants to develop new algorithms and to compare them to other algorithms in given settings; in addition, it asked participants to explore with new recommendation methods, services, as well as added-value services related to recommendation.

Originele taal-2	Engels
Titel	RecSys 2012
Pagina's	353-354
DOI's	https://doi.org/10.1145/2365952.2366043
Status	Gepubliceerd - 2012
Extern gepubliceerd	Ja

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10.1145/2365952.2366043

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title = "Recommender systems challenge 2012",

abstract = "The Recommender System Challenge 2012 invited participants to work on two tracks with real-world datasets and to submit their contributions that would be related to specific problem contexts. First of all, it asked participants to develop new algorithms and to compare them to other algorithms in given settings; in addition, it asked participants to explore with new recommendation methods, services, as well as added-value services related to recommendation.",

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AU - Drachsler, H.

AU - Verbert, K.

AU - Jack, K.

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AB - The Recommender System Challenge 2012 invited participants to work on two tracks with real-world datasets and to submit their contributions that would be related to specific problem contexts. First of all, it asked participants to develop new algorithms and to compare them to other algorithms in given settings; in addition, it asked participants to explore with new recommendation methods, services, as well as added-value services related to recommendation.

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M3 - Conference contribution

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BT - RecSys 2012

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Recommender systems challenge 2012

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