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of 9
pro vyhledávání: '"Nag, Kaushiki"'
E-commerce platforms have a vast catalog of items to cater to their customers' shopping interests. Most of these platforms assist their customers in the shopping process by offering optimized recommendation carousels, designed to help customers quick
Externí odkaz:
http://arxiv.org/abs/2409.07627
Autor:
Chen, Ziheng, Wang, Jia, Zhuang, Jun, Reddy, Abbavaram Gowtham, Silvestri, Fabrizio, Huang, Jin, Nag, Kaushiki, Kuang, Kun, Ning, Xin, Tolomei, Gabriele
The right to be forgotten (RTBF) seeks to safeguard individuals from the enduring effects of their historical actions by implementing machine-learning techniques. These techniques facilitate the deletion of previously acquired knowledge without requi
Externí odkaz:
http://arxiv.org/abs/2404.15760
Autor:
Fan, Zezhong, Li, Xiaohan, Fang, Chenhao, Biswas, Topojoy, Nag, Kaushiki, Xu, Jianpeng, Achan, Kannan
The rapid evolution of text-to-image diffusion models has opened the door of generative AI, enabling the translation of textual descriptions into visually compelling images with remarkable quality. However, a persistent challenge within this domain i
Externí odkaz:
http://arxiv.org/abs/2404.11589
Autor:
Fang, Chenhao, Li, Xiaohan, Fan, Zezhong, Xu, Jianpeng, Nag, Kaushiki, Korpeoglu, Evren, Kumar, Sushant, Achan, Kannan
Product attribute value extraction is a pivotal component in Natural Language Processing (NLP) and the contemporary e-commerce industry. The provision of precise product attribute values is fundamental in ensuring high-quality recommendations and enh
Externí odkaz:
http://arxiv.org/abs/2403.00863
Autor:
Vashishtha, Shanu, Prakash, Abhinav, Morishetti, Lalitesh, Nag, Kaushiki, Arora, Yokila, Kumar, Sushant, Achan, Kannan
Text-to-image models such as stable diffusion have opened a plethora of opportunities for generating art. Recent literature has surveyed the use of text-to-image models for enhancing the work of many creative artists. Many e-commerce platforms employ
Externí odkaz:
http://arxiv.org/abs/2403.05578
Autor:
Ye, Zikun, Maragheh, Reza Yousefi, Morishetti, Lalitesh, Vashishtha, Shanu, Cho, Jason, Nag, Kaushiki, Kumar, Sushant, Achan, Kannan
This paper aims to investigate and achieve seller-side fairness within online marketplaces, where many sellers and their items are not sufficiently exposed to customers in an e-commerce platform. This phenomenon raises concerns regarding the potentia
Externí odkaz:
http://arxiv.org/abs/2312.03253
Autor:
Chen, Jiao, Ma, Luyi, Li, Xiaohan, Thakurdesai, Nikhil, Xu, Jianpeng, Cho, Jason H. D., Nag, Kaushiki, Korpeoglu, Evren, Kumar, Sushant, Achan, Kannan
Knowledge Graphs (KGs) play a crucial role in enhancing e-commerce system performance by providing structured information about entities and their relationships, such as complementary or substitutable relations between products or product types, whic
Externí odkaz:
http://arxiv.org/abs/2305.09858
Recent studies on Next-basket Recommendation (NBR) have achieved much progress by leveraging Personalized Item Frequency (PIF) as one of the main features, which measures the frequency of the user's interactions with the item. However, taking the PIF
Externí odkaz:
http://arxiv.org/abs/2211.09072
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