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pro vyhledávání: '"Srikantan, Arvind"'
Autor:
Aroraa, Cherag, King, Tracy Holloway, Kumar, Jayant, Lu, Yi, Sharma, Sanat, Srikantan, Arvind, Uvalle, David, Valls-Vargas, Josep, Vardhan, Harsha
As user content and queries become increasingly multi-modal, the need for effective multi-modal search systems has grown. Traditional search systems often rely on textual and metadata annotations for indexed images, while multi-modal embeddings like
Externí odkaz:
http://arxiv.org/abs/2408.14698
Autor:
Sharma, Sanat, Kumar, Jayant, Naik, Twisha, Lu, Zhaoyu, Srikantan, Arvind, King, Tracy Holloway
Accurate explicit and implicit product identification in search queries is critical for enhancing user experiences, especially at a company like Adobe which has over 50 products and covers queries across hundreds of tools. In this work, we present a
Externí odkaz:
http://arxiv.org/abs/2404.09091
Autor:
Borges, Francisco, Balikas, Georgios, Brette, Marc, Kempf, Guillaume, Srikantan, Arvind, Landos, Matthieu, Brazouskaya, Darya, Shi, Qianqian
Natural Language Search (NLS) extends the capabilities of search engines that perform keyword search allowing users to issue queries in a more "natural" language. The engine tries to understand the meaning of the queries and to map the query words to
Externí odkaz:
http://arxiv.org/abs/2012.06238
Translating natural language utterances to executable queries is a helpful technique in making the vast amount of data stored in relational databases accessible to a wider range of non-tech-savvy end users. Prior work in this area has largely focused
Externí odkaz:
http://arxiv.org/abs/2010.09927
Autor:
Pujari, Nitin V, Pandey, Keshav, Sumanth, Chiraag, Srikantan, Arvind, Arvind, Ramesh, Jay, Dharamsi Tejas
Publikováno v:
2015 International Conference on Industrial Engineering & Operations Management (IEOM); 2015, p1-8, 8p