Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Faraz Makari Manshadi"'
Autor:
Prithviraj Sen, Niketan Pansare, Arvind C. Surve, Frederick Reiss, Matthias Boehm, Berthold Reinwald, Alexandre V. Evfimievski, Deron Eriksson, Michael W. Dusenberry, Faraz Makari Manshadi, Shirish Tatikonda
Publikováno v:
Proceedings of the VLDB Endowment. 9:1425-1436
The rising need for custom machine learning (ML) algorithms and the growing data sizes that require the exploitation of distributed, data-parallel frameworks such as MapReduce or Spark, pose significant productivity challenges to data scientists. Apa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5b65e3efca755c897c69fdde780dd13
https://doi.org/10.14778/3007263.3007279
https://doi.org/10.14778/3007263.3007279
Autor:
Faraz Makari Manshadi, Rainer Gemulla, Baruch Awerbuch, Rohit Khandekar, Julián Mestre, Mauro Sozio
Publikováno v:
PVLDB (Proceedings of the VLDB Endowment)
PVLDB (Proceedings of the VLDB Endowment), 2013
Research Reports
Proceedings of the VLDB Endowment
Proceedings of the 39th International Conference on Very Large Data Bases
PVLDB (Proceedings of the VLDB Endowment), 2013
Research Reports
Proceedings of the VLDB Endowment
Proceedings of the 39th International Conference on Very Large Data Bases
Generalized matching problems arise in a number of applications, including computational advertising, recommender systems, and trade markets. Consider, for example, the problem of recommending multimedia items (e.g., DVDs) to users such that (1) user
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c300787dff015d985979b4195284f2e4
https://hal.telecom-paris.fr/hal-02286705
https://hal.telecom-paris.fr/hal-02286705
