Service chatbots: A systematic review

SM Suhaili, N Salim, MN Jambli - Expert Systems with Applications, 2021 - Elsevier
Chatbots or Conversational agents are the next significant technological leap in the field of
conversational services, that is, enabling a device to communicate with a user upon …

Implementation of chatbot in online commerce, and open innovation

MD Illescas-Manzano, N Vicente López… - Journal of Open …, 2021 - mdpi.com
This study describes the chatbot journey and focuses on its implementation within the digital
marketing strategy in the first part of a company's sales funnel. The main goal was to apply a …

A domain-specific generative chatbot trained from little data

J Kapočiūtė-Dzikienė - Applied Sciences, 2020 - mdpi.com
Accurate generative chatbots are usually trained on large datasets of question–answer
pairs. Despite such datasets not existing for some languages, it does not reduce the need for …

X-METRA-ADA: Cross-lingual meta-transfer learning adaptation to natural language understanding and question answering

M M'hamdi, DS Kim, F Dernoncourt, T Bui… - arXiv preprint arXiv …, 2021 - arxiv.org
Multilingual models, such as M-BERT and XLM-R, have gained increasing popularity, due to
their zero-shot cross-lingual transfer learning capabilities. However, their generalization …

Social Listening for Product Design Requirement Analysis and Segmentation: A Graph Analysis Approach with User Comments Mining

X Lai, G Huang, Z Zhao, S Lin, S Zhang, H Zhang… - Big Data, 2023 - liebertpub.com
This study investigates customers' product design requirements through online comments
from social media, and quickly translates these needs into product design specifications …

Quantifying and leveraging user fatigue for interventions in recommender systems

H Sagtani, MG Jhawar, A Gupta… - Proceedings of the 46th …, 2023 - dl.acm.org
Predicting churn and designing intervention strategies are crucial for online platforms to
maintain user engagement. We hypothesize that predicting churn, ie users leaving from the …

A taxonomy, data set, and benchmark for detecting and classifying malevolent dialogue responses

Y Zhang, P Ren, M De Rijke - Journal of the Association for …, 2021 - Wiley Online Library
Conversational interfaces are increasingly popular as a way of connecting people to
information. With the increased generative capacity of corpus‐based conversational agents …

Voice-Controlled Intelligent Personal Assistant for Call-Center Automation in the Uzbek Language

A Mukhamadiyev, I Khujayarov, J Cho - Electronics, 2023 - mdpi.com
The demand for customer support call centers has surged across various sectors due to the
pandemic. Yet, the constraints of round-the-clock human services and fluctuating wait times …

Intent detection problem solving via automatic DNN hyperparameter optimization

J Kapočiūtė-Dzikienė, K Balodis, R Skadiņš - Applied Sciences, 2020 - mdpi.com
Accurate intent detection-based chatbots are usually trained on larger datasets that are not
available for some languages. Seeking the most accurate models, three English benchmark …

Investigating the Impacts of AR, AI, and Website Optimization on Ecommerce Sales Growth

M Mnyakin - ResearchBerg Review of Science and Technology, 2020 - researchberg.com
E-commerce has evolved into a vital element of modern life by giving customers a quick and
easy way to buy products and services online. Businesses increasingly focus on building …