Zobrazeno 1 - 10
of 556
pro vyhledávání: '"A. Pancha"'
Autor:
Agarwal, Prabhat, Sk, Minhazul Islam, Pancha, Nikil, Hazra, Kurchi Subhra, Xu, Jiajing, Rosenberg, Chuck
In this paper, we present OmniSearchSage, a versatile and scalable system for understanding search queries, pins, and products for Pinterest search. We jointly learn a unified query embedding coupled with pin and product embeddings, leading to an imp
Externí odkaz:
http://arxiv.org/abs/2404.16260
Autor:
Xia, Xue, Eksombatchai, Pong, Pancha, Nikil, Badani, Dhruvil Deven, Wang, Po-Wei, Gu, Neng, Joshi, Saurabh Vishwas, Farahpour, Nazanin, Zhang, Zhiyuan, Zhai, Andrew
Sequential models that encode user activity for next action prediction have become a popular design choice for building web-scale personalized recommendation systems. Traditional methods of sequential recommendation either utilize end-to-end learning
Externí odkaz:
http://arxiv.org/abs/2306.00248
Publikováno v:
KDD 2022
Learned embeddings for products are an important building block for web-scale e-commerce recommendation systems. At Pinterest, we build a single set of product embeddings called ItemSage to provide relevant recommendations in all shopping use cases i
Externí odkaz:
http://arxiv.org/abs/2205.11728
Autor:
Gurukar, Saket, Pancha, Nikil, Zhai, Andrew, Kim, Eric, Hu, Samson, Parthasarathy, Srinivasan, Rosenberg, Charles, Leskovec, Jure
Graph Convolutional Networks (GCN) can efficiently integrate graph structure and node features to learn high-quality node embeddings. These embeddings can then be used for several tasks such as recommendation and search. At Pinterest, we have develop
Externí odkaz:
http://arxiv.org/abs/2205.10666
Sequential models have become increasingly popular in powering personalized recommendation systems over the past several years. These approaches traditionally model a user's actions on a website as a sequence to predict the user's next action. While
Externí odkaz:
http://arxiv.org/abs/2205.04507
Autor:
Pancha Ramos Johnny Marcelo, Rocha Hoyos Juan Carlos, Allauca Gualoto Wilmer Andres, Alex Israel Carrillo Vallejo
Publikováno v:
ESPOCH Congresses, Vol 2, Iss 2, Pp 769-791 (2022)
Abstract This research shows the behavior of the lubricating oil SAE 15W40 with API CI-4 PLUS used in diesel engines based on the different geographical and atmospheric conditions that Ecuador has. Three vehicles that use HINO AK diesel engines and o
Externí odkaz:
https://doaj.org/article/df3bb2896da64ea087a5d97f2264f5da
Autor:
Castro, Aura Lucia Leal, Camacho-Moreno, Germán, Montañez-Ayala, Anita, Varón-Vega, Fabio, Alvarez-Rodríguez, José Camilo, Valderrama-Beltrán, Sandra, Ariza, Beatriz Elena, Pancha, Oscar, Santana, Ana Yadira, Flórez, Nella Sánchez, Reyes, Patricia, Ruiz, Jaime, Beltran, Claudia, Prieto, Emilia, Rojas, Monica, Urrego-Reyes, Juan, Parellada, Cintia Irene
Publikováno v:
In IJID Regions June 2022 3:293-299
Autor:
Phonthanukitithaworn, Chanchai1 (AUTHOR), Srisathan, Wutthiya A.2,3 (AUTHOR), Worakittikul, Wongsatorn2 (AUTHOR), Inthachack, Moukdavanh2 (AUTHOR), Pancha, Aphirak2 (AUTHOR), Naruetharadhol, Phaninee3 (AUTHOR) phaninee@kku.ac.th
Publikováno v:
International Journal of Sustainable Engineering. Dec2024, Vol. 17 Issue 1, p429-447. 19p.
Autor:
Doré, Olivier, Werner, Michael W., Ashby, Matt, Banerjee, Pancha, Battaglia, Nick, Bauer, James, Benjamin, Robert A., Bleem, Lindsey E., Bock, Jamie, Boogert, Adwin, Bull, Philip, Capak, Peter, Chang, Tzu-Ching, Chiar, Jean, Cohen, Seth H., Cooray, Asantha, Crill, Brendan, Cushing, Michael, de Putter, Roland, Driver, Simon P., Eifler, Tim, Feng, Chang, Ferraro, Simone, Finkbeiner, Douglas, Gaudi, B. Scott, Greene, Tom, Hillenbrand, Lynne, Höflich, Peter A., Hsiao, Eric, Huffenberger, Kevin, Jansen, Rolf A., Jeong, Woong-Seob, Joshi, Bhavin, Kim, Duho, Kim, Minjin, Kirkpatrick, J. Davy, Korngut, Phil, Krause, Elisabeth, Kriek, Mariska, Leistedt, Boris, Li, Aigen, Lisse, Carey M., Mauskopf, Phil, Mechtley, Matt, Melnick, Gary, Mohr, Joseph, Murphy, Jeremiah, Neben, Abraham, Neufeld, David, Nguyen, Hien, Pierpaoli, Elena, Pyo, Jeonghyun, Rhodes, Jason, Sandstrom, Karin, Schaan, Emmanuel, Schlaufman, Kevin C., Silverman, John, Su, Kate, Stassun, Keivan, Stevens, Daniel, Strauss, Michael A., Tielens, Xander, Tsai, Chao-Wei, Tolls, Volker, Unwin, Stephen, Viero, Marco, Windhorst, Rogier A., Zemcov, Michael
SPHEREx is a proposed SMEX mission selected for Phase A. SPHEREx will carry out the first all-sky spectral survey and provide for every 6.2" pixel a spectra between 0.75 and 4.18 $\mu$m [with R$\sim$41.4] and 4.18 and 5.00 $\mu$m [with R$\sim$135]. T
Externí odkaz:
http://arxiv.org/abs/1606.07039
Publikováno v:
In Journal of Molecular Liquids 1 August 2021 335