Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Goutam, Rahul"'
Autor:
Luo, Chen, Tang, Xianfeng, Lu, Hanqing, Xie, Yaochen, Liu, Hui, Dai, Zhenwei, Cui, Limeng, Joshi, Ashutosh, Nag, Sreyashi, Li, Yang, Li, Zhen, Goutam, Rahul, Tang, Jiliang, Zhang, Haiyang, He, Qi
Online shopping platforms, such as Amazon, offer services to billions of people worldwide. Unlike web search or other search engines, product search engines have their unique characteristics, primarily featuring short queries which are mostly a combi
Externí odkaz:
http://arxiv.org/abs/2408.02215
Autor:
He, Bing, Nag, Sreyashi, Cui, Limeng, Wang, Suhang, Li, Zheng, Goutam, Rahul, Li, Zhen, Zhang, Haiyang
E-commerce platforms typically store and structure product information and search data in a hierarchy. Efficiently categorizing user search queries into a similar hierarchical structure is paramount in enhancing user experience on e-commerce platform
Externí odkaz:
http://arxiv.org/abs/2403.06021
Autor:
Jin, Wei, Mao, Haitao, Li, Zheng, Jiang, Haoming, Luo, Chen, Wen, Hongzhi, Han, Haoyu, Lu, Hanqing, Wang, Zhengyang, Li, Ruirui, Li, Zhen, Cheng, Monica Xiao, Goutam, Rahul, Zhang, Haiyang, Subbian, Karthik, Wang, Suhang, Sun, Yizhou, Tang, Jiliang, Yin, Bing, Tang, Xianfeng
Modeling customer shopping intentions is a crucial task for e-commerce, as it directly impacts user experience and engagement. Thus, accurately understanding customer preferences is essential for providing personalized recommendations. Session-based
Externí odkaz:
http://arxiv.org/abs/2307.09688
Autor:
Jiang, Haoming, Cao, Tianyu, Li, Zheng, Luo, Chen, Tang, Xianfeng, Yin, Qingyu, Zhang, Danqing, Goutam, Rahul, Yin, Bing
E-commerce query understanding is the process of inferring the shopping intent of customers by extracting semantic meaning from their search queries. The recent progress of pre-trained masked language models (MLM) in natural language processing is ex
Externí odkaz:
http://arxiv.org/abs/2210.03915
Understanding search queries is critical for shopping search engines to deliver a satisfying customer experience. Popular shopping search engines receive billions of unique queries yearly, each of which can depict any of hundreds of user preferences
Externí odkaz:
http://arxiv.org/abs/2001.04345
Understanding search queries is critical for shopping search engines to deliver a satisfying customer experience. Popular shopping search engines receive billions of unique queries yearly, each of which can depict any of hundreds of user preferences
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2d54d4021361e51ca205ff086ff8cf2
Autor:
Goutam, Rahul
Publikováno v:
2012 International Conference on Asian Language Processing; 1/ 1/2012, p37-40, 4p
Publikováno v:
Proceedings of the 2011 Joint Workshop: Multilingual OCR & Analytics for Noisy Unstructured Text Data; Sep2011, p1-8, 8p