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Related papers: Information Discovery in e-Commerce

200 papers

E-commerce recommender systems are becoming increasingly important in the current digital world. They are used to personalize user experience, help customers find what they need quickly and efficiently, and increase revenue for the…

Information Retrieval · Computer Science 2022-12-29 Tanmayee Salunke , Unnati Nichite

E-commerce is a kind of shopping by use of the internet. E-commerce, very different from the usual shopping concept, is compatible with today's economic dynamics. E-commerce is becoming an indispensable method with the increase of internet…

Computers and Society · Computer Science 2021-08-23 Ahmet Kaya , Ömer Aydin

In fashion e-commerce platforms, product discovery is one of the key components of a good user experience. There are numerous ways using which people find the products they desire. Similar product recommendations is one of the popular modes…

Information Retrieval · Computer Science 2018-07-02 Pankaj Agarwal , Sreekanth Vempati , Sumit Borar

As Internet-based commerce becomes increasingly widespread, large data sets about the demand for and pricing of a wide variety of products become available. These present exciting new opportunities for empirical economic and business…

Statistics Theory · Mathematics 2008-12-02 Anindya Ghose , Arun Sundararajan

With the rapid growth of e-Commerce, online product search has emerged as a popular and effective paradigm for customers to find desired products and engage in online shopping. However, there is still a big gap between the products that…

Information Retrieval · Computer Science 2020-01-16 Rahul Radhakrishnan Iyer , Rohan Kohli , Shrimai Prabhumoye

Information-seeking conversation system aims at satisfying the information needs of users through conversations. Text matching between a user query and a pre-collected question is an important part of the information-seeking conversation in…

Computation and Language · Computer Science 2019-11-11 Zhenxin Fu , Feng Ji , Wenpeng Hu , Wei Zhou , Dongyan Zhao , Haiqing Chen , Rui Yan

Customer reviews represent a very rich data source from which we can extract very valuable information about different online shopping experiences. The amount of the collected data may be very large especially for trendy items (products,…

Computation and Language · Computer Science 2021-04-06 Abdessamad Benlahbib

E-commerce platforms are increasingly reliant on recommendation systems to enhance user experience, retain customers, and, in most cases, drive sales. The integration of machine learning methods into these systems has significantly improved…

Information Retrieval · Computer Science 2025-06-24 Aneta Poniszewska-Maranda , Magdalena Pakula , Bozena Borowska

Consumers on a shopping mission often leverage both product search and information seeking systems, such as web search engines and Question Answering (QA) systems, in an iterative process to improve their understanding of available products…

Computation and Language · Computer Science 2024-07-18 Saar Kuzi , Shervin Malmasi

E-commerce businesses employ recommender models to assist in identifying a personalized set of products for each visitor. To accurately assess the recommendations' influence on customer clicks and buys, three target areas -- customer…

Computers and Society · Computer Science 2019-11-05 Namrata Chaudhary , Drimik Roy Chowdhury

In e-commerce, a user tends to search for the desired product by issuing a query to the search engine and examining the retrieved results. If the search engine was successful in correctly understanding the user's query, it will return…

Information Retrieval · Computer Science 2019-08-26 Saurav Manchanda , Mohit Sharma , George Karypis

Electronic commerce (e-Commerce) technologies have been increased over the past two decades in different business sectors. In particular, the technologies of B2C operations have significantly improved the productivity of online small…

Computers and Society · Computer Science 2022-03-01 Ziad Hmwd A Almtiri , Shah J Miah , Nasimul Noman

This survey explores the fairness of large language models (LLMs) in e-commerce, examining their progress, applications, and the challenges they face. LLMs have become pivotal in the e-commerce domain, offering innovative solutions and…

Computation and Language · Computer Science 2024-06-25 Qingyang Ren , Zilin Jiang , Jinghan Cao , Sijia Li , Chiqu Li , Yiyang Liu , Shuning Huo , Tiange He , Yuan Chen

Cloud computing platform gives people the opportunity for sharing resources, services and information among the people of the whole world. In private cloud system, information is shared among the persons who are in that cloud. Presently,…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-04-26 Kawser Wazed Nafi , Tonny Shekha Kar , Amjad Hossain , M. M. A Hashem

In the digital age, e-commerce has transformed the way consumers shop, offering convenience and accessibility. Nevertheless, concerns about the privacy and security of personal information shared on these platforms have risen. In this work,…

In this study, a narrative literature review regarding culture and e-commerce website design has been introduced. Cultural aspect and e-commerce website design will play a significant role for successful global e-commerce sites in the…

Computers and Society · Computer Science 2018-10-19 Khan Mashiur Rahman

Modern e-commerce services frequently target customers with incentives or interventions to engage them in their products such as games, shopping, video streaming, etc. This customer engagement increases acquisition of more customers and…

Machine Learning · Computer Science 2024-12-31 Qiqi Li , Roopali Singh , Charin Polpanumas , Tanner Fiez , Namita Kumar , Shreya Chakrabarti

With the prevalence of e-commence websites and the ease of online shopping, consumers are embracing huge amounts of various options in products. Undeniably, shopping is one of the most essential activities in our society and studying…

Computer Vision and Pattern Recognition · Computer Science 2017-02-23 Kuan-Ting Chen , Jiebo Luo

Recommendation systems can provide accurate recommendations by analyzing user shopping history. A richer user history results in more accurate recommendations. However, in real applications, users prefer e-commerce platforms where the item…

Information Retrieval · Computer Science 2024-03-20 Irem Islek , Sule Gunduz Oguducu

This research informs the means to develop an e-commerce strategy for web based tourism promotion of hotels located in developing countries. The study explored the aspects related to the use of information systems in web based tourism…

Computers and Society · Computer Science 2013-02-22 Arunasalam Sambhanthan , Alice Good