Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Greenstein-Messica A"'
We present a practical distillation approach to fine-tune LLMs for invoking tools in real-time applications. We focus on visual editing tasks; specifically, we modify images and videos by interpreting user stylistic requests, specified in natural lan
Externí odkaz:
http://arxiv.org/abs/2410.02952
One of the challenging aspects of applying machine learning is the need to identify the algorithms that will perform best for a given dataset. This process can be difficult, time consuming and often requires a great deal of domain knowledge. We prese
Externí odkaz:
http://arxiv.org/abs/2003.03470
Recommendation systems have become ubiquitous in today's online world and are an integral part of practically every e-commerce platform. While traditional recommender systems use customer history, this approach is not feasible in 'cold start' scenari
Externí odkaz:
http://arxiv.org/abs/1905.01686
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-17 (2022)
Abstract Background Drug–drug interactions (DDIs) are preventable causes of medical injuries and often result in doctor and emergency room visits. Previous research demonstrates the effectiveness of using matrix completion approaches based on known
Externí odkaz:
https://doaj.org/article/3e7e4a6b73e54f5aaee39593177b18e7
Publikováno v:
In Electronic Commerce Research and Applications March-April 2020 40
Autor:
Shtar, Guy1 (AUTHOR) shtar@post.bgu.ac.il, Greenstein-Messica, Asnat1 (AUTHOR), Mazuz, Eyal1 (AUTHOR), Rokach, Lior1 (AUTHOR), Shapira, Bracha1 (AUTHOR)
Publikováno v:
BMC Bioinformatics. 12/7/2022, Vol. 23 Issue 1, p1-17. 17p.
Publikováno v:
In Knowledge-Based Systems 15 June 2018 150:14-26
Publikováno v:
SIGIR
Many sellers on e-commerce platforms offer buyers product bundles, which package together two or more different items. The identification of such bundles is a necessary step to support a variety of related services, from recommendation to dynamic pri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f65df752f70232b974496a0c266002bb
https://doi.org/10.1145/3397271.3401128
https://doi.org/10.1145/3397271.3401128
Autor:
Asnat Greenstein-Messica, Lior Rokach
Publikováno v:
Knowledge-Based Systems. 150:14-26
Many e-commerce sites use recommender systems, which suggest products that consumers may want to purchase in order to increase site revenue. Though recommender systems have achieved great success, they have not reached their full potential. Most curr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11c1f7ac16aacdadba47aab75db81ffb
https://doi.org/10.1016/j.knosys.2018.02.026
https://doi.org/10.1016/j.knosys.2018.02.026
Autor:
Greenstein‐Messica, Asnat1 asnatm@post.bgu.ac.il, Rokach, Lior2 liorrk@bgu.ac.il, Shabtai, Asaf3 shabtaia@bgu.ac.il
Publikováno v:
Journal of the Association for Information Science & Technology. Aug2017, Vol. 68 Issue 8, p1940-1952. 13p.