Zobrazeno 1 - 10
of 621
pro vyhledávání: '"A P, Roĭtman"'
Temporal graph neural networks (temporal GNNs) have been widely researched, reaching state-of-the-art results on multiple prediction tasks. A common approach employed by most previous works is to apply a layer that aggregates information from the his
Externí odkaz:
http://arxiv.org/abs/2206.05692
Via simulation, we discover and prove curious new Euclidean properties and invariants of the Poncelet family of harmonic polygons.
Comment: 18 pages, 9 figures, 3 tables, 8 videos
Comment: 18 pages, 9 figures, 3 tables, 8 videos
Externí odkaz:
http://arxiv.org/abs/2112.02545
Autor:
Singer, Uriel, Roitman, Haggai, Eshel, Yotam, Nus, Alexander, Guy, Ido, Levi, Or, Hasson, Idan, Kiperwasser, Eliyahu
Publikováno v:
International Conference on Web Search and Data Mining (WSDM), 2022
In e-commerce, the watchlist enables users to track items over time and has emerged as a primary feature, playing an important role in users' shopping journey. Watchlist items typically have multiple attributes whose values may change over time (e.g.
Externí odkaz:
http://arxiv.org/abs/2110.11072
Recent advances in the e-commerce fashion industry have led to an exploration of novel ways to enhance buyer experience via improved personalization. Predicting a proper size for an item to recommend is an important personalization challenge, and is
Externí odkaz:
http://arxiv.org/abs/2105.01564
Autor:
Ganhotra, Jatin, Roitman, Haggai, Cohen, Doron, Mills, Nathaniel, Gunasekara, Chulaka, Mass, Yosi, Joshi, Sachindra, Lastras, Luis, Konopnicki, David
A frequent pattern in customer care conversations is the agents responding with appropriate webpage URLs that address users' needs. We study the task of predicting the documents that customer care agents can use to facilitate users' needs. We also in
Externí odkaz:
http://arxiv.org/abs/2010.02305
Researchers and students face an explosion of newly published papers which may be relevant to their work. This led to a trend of sharing human summaries of scientific papers. We analyze the summaries shared in one of these platforms Shortscience.org.
Externí odkaz:
http://arxiv.org/abs/2002.03604
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Erera, Shai, Shmueli-Scheuer, Michal, Feigenblat, Guy, Nakash, Ora Peled, Boni, Odellia, Roitman, Haggai, Cohen, Doron, Weiner, Bar, Mass, Yosi, Rivlin, Or, Lev, Guy, Jerbi, Achiya, Herzig, Jonathan, Hou, Yufang, Jochim, Charles, Gleize, Martin, Bonin, Francesca, Konopnicki, David
We present a novel system providing summaries for Computer Science publications. Through a qualitative user study, we identified the most valuable scenarios for discovery, exploration and understanding of scientific documents. Based on these findings
Externí odkaz:
http://arxiv.org/abs/1908.11152
We study the use of BERT for non-factoid question-answering, focusing on the passage re-ranking task under varying passage lengths. To this end, we explore the fine-tuning of BERT in different learning-to-rank setups, comprising both point-wise and p
Externí odkaz:
http://arxiv.org/abs/1908.06780
Autor:
de Lima, Ronaldo F., Roitman, Pedro
Consider a complete Riemannian manifold $M^n$ and let $\Sigma^n$ be an orientable hypersurface of the product manifold $M\times\mathbb{R}$ endowed with its standard product metric $\langle \,,\, \rangle.$ Let $\nabla\xi$ denote the gradient of the he
Externí odkaz:
http://arxiv.org/abs/1905.12026