Výsledky vyhledávání - "Perera, Sujan"

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Learning Personalized Page Content Ranking Using Customer Representation

Autor: Shen, Xin, Zhao, Yan, Perera, Sujan, Liu, Yujia, Yan, Jinyun, Goodman, Mitchell

On E-commerce stores, there are rich recommendation content to help shoppers shopping more efficiently. However given numerous products, it's crucial to select most relevant content to reduce the burden of information overload. We introduced a conten

Externí odkaz: http://arxiv.org/abs/2305.05267

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Implicit Entity Linking in Tweets

Autor: Perera, Sujan, Mendes, Pablo N., Alex, Adarsh, Sheth, Amit, Thirunarayan, Krishnaprasad

Over the years, Twitter has become one of the largest communication platforms providing key data to various applications such as brand monitoring, trend detection, among others. Entity linking is one of the major tasks in natural language understandi

Externí odkaz: http://arxiv.org/abs/1707.08470

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Knowledge will Propel Machine Understanding of Content: Extrapolating from Current Examples

Autor: Sheth, Amit, Perera, Sujan, Wijeratne, Sanjaya, Thirunarayan, Krishnaprasad

Machine Learning has been a big success story during the AI resurgence. One particular stand out success relates to learning from a massive amount of data. In spite of early assertions of the unreasonable effectiveness of data, there is increasing re

Externí odkaz: http://arxiv.org/abs/1707.05308

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Knowledge will Propel Machine Understanding of Content: Extrapolating from Current Examples

Autor: Sheth, Amit, Perera, Sujan, Wijeratne, Sanjaya

Machine Learning has been a big success story during the AI resurgence. One particular stand out success relates to unsupervised learning from a massive amount of data, albeit much of it relates to one modality/type of data at a time. In spite of ear

Externí odkaz: http://arxiv.org/abs/1610.07708

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