Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Achan, Kannan"'
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
Many current recommender systems mainly focus on the product-to-product recommendations and user-to-product recommendations even during the time of events rather than modeling the typical recommendations for the target event (e.g., festivals, seasona
Externí odkaz:
http://arxiv.org/abs/2402.03277
Autor:
Forouzandehmehr, Najmeh, Cao, Yijie, Thakurdesai, Nikhil, Giahi, Ramin, Ma, Luyi, Farrokhsiar, Nima, Xu, Jianpeng, Korpeoglu, Evren, Achan, Kannan
The outfit generation problem involves recommending a complete outfit to a user based on their interests. Existing approaches focus on recommending items based on anchor items or specific query styles but do not consider customer interests in famous
Externí odkaz:
http://arxiv.org/abs/2402.05941
Autor:
Ma, Luyi, Thakurdesai, Nikhil, Chen, Jiao, Xu, Jianpeng, Korpeoglu, Evren, Kumar, Sushant, Achan, Kannan
Data processing is one of the fundamental steps in machine learning pipelines to ensure data quality. Majority of the applications consider the user-defined function (UDF) design pattern for data processing in databases. Although the UDF design patte
Externí odkaz:
http://arxiv.org/abs/2312.16351
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:
Maragheh, Reza Yousefi, Fang, Chenhao, Irugu, Charan Chand, Parikh, Parth, Cho, Jason, Xu, Jianpeng, Sukumar, Saranyan, Patel, Malay, Korpeoglu, Evren, Kumar, Sushant, Achan, Kannan
Keyword extraction is one of the core tasks in natural language processing. Classic extraction models are notorious for having a short attention span which make it hard for them to conclude relational connections among the words and sentences that ar
Externí odkaz:
http://arxiv.org/abs/2312.00909
Autor:
Giahi, Ramin, Maragheh, Reza Yousefi, Farrokhsiar, Nima, Xu, Jianpeng, Cho, Jason, Korpeoglu, Evren, Kumar, Sushant, Achan, Kannan
Similar item recommendation is a critical task in the e-Commerce industry, which helps customers explore similar and relevant alternatives based on their interested products. Despite the traditional machine learning models, Graph Neural Networks (GNN
Externí odkaz:
http://arxiv.org/abs/2310.17732
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