Eye tracking, usability, and user experience: A systematic review
Usability and user experience (UX) are emerging concerns around not only application
development but everything designed to be used by people. Evaluation of the UX is, by …
development but everything designed to be used by people. Evaluation of the UX is, by …
Joint event causality extraction using dual-channel enhanced neural network
J Gao, H Yu, S Zhang - Knowledge-Based Systems, 2022 - Elsevier
Abstract Event Causality Extraction (ECE) plays an essential role in many Natural Language
Processing (NLP), such as event prediction and dialogue generation. Recent research in …
Processing (NLP), such as event prediction and dialogue generation. Recent research in …
Feature-level deeper self-attention network with contrastive learning for sequential recommendation
Y Hao, T Zhang, P Zhao, Y Liu… - IEEE transactions on …, 2023 - ieeexplore.ieee.org
Sequential recommendation, which aims to recommend next item that the user will likely
interact in a near future, has become essential in various Internet applications. Existing …
interact in a near future, has become essential in various Internet applications. Existing …
Online store aesthetics impact efficacy of product recommendations and highlighting
Owing to high competition in e-commerce, customers may prefer sites that ensure that good
user experience (UX) and website aesthetics are one of its qualities. The method of …
user experience (UX) and website aesthetics are one of its qualities. The method of …
Webcam eye tracking for monitoring visual attention in hypothetical online shop** tasks
I Schröter, NR Grillo, MK Limpak, B Mestiri, B Osthold… - Applied Sciences, 2021 - mdpi.com
Online retailers are challenged to present their products in an appropriate way to attract
customers' attention. To test the impact of product presentation features on customers' visual …
customers' attention. To test the impact of product presentation features on customers' visual …
Fuzzy approach to purchase intent modeling based on user tracking for E-commerce recommenders
Recommender systems play a vital role in e-commerce by presenting personalized product
suggestions, reducing habituation and leading to transactions in an environment with limited …
suggestions, reducing habituation and leading to transactions in an environment with limited …
Analysis of the learning process through eye tracking technology and feature selection techniques
In recent decades, the use of technological resources such as the eye tracking methodology
is providing cognitive researchers with important tools to better understand the learning …
is providing cognitive researchers with important tools to better understand the learning …
A survey of one class e-commerce recommendation system techniques
Although several recommendation algorithms are widely used by both commercial and non-
commercial platforms, they face unique challenges such as sparse data sets and the …
commercial platforms, they face unique challenges such as sparse data sets and the …
New vector-space embeddings for recommender systems
In this work, we propose a novel recommender system model based on a technology
commonly used in natural language processing called word vector embedding. In this …
commonly used in natural language processing called word vector embedding. In this …