- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- Video Analysis and Summarization
- Technology Adoption and User Behaviour
- Digital Marketing and Social Media
- Consumer Retail Behavior Studies
- Remote-Sensing Image Classification
- Pain Mechanisms and Treatments
- Visual Attention and Saliency Detection
- Musculoskeletal pain and rehabilitation
- Consumer Behavior and Marketing Influence
- COVID-19 Pandemic Impacts
- Sentiment Analysis and Opinion Mining
- Robotics and Sensor-Based Localization
- Machine Learning and Algorithms
- Big Data and Business Intelligence
- Impulse Buying and Technology Impacts
- Natural Language Processing Techniques
- Online Learning and Analytics
- Autism Spectrum Disorder Research
- Family and Disability Support Research
- Customer Service Quality and Loyalty
- Advanced Text Analysis Techniques
- Language Development and Disorders
- AI in Service Interactions
Industrial University of Ho Chi Minh City
2016-2025
Hanoi Pedagogical University 2
2024
Thai Nguyen University of Agriculture and Forestry
2022
National Pingtung University of Science and Technology
2022
Aalborg University
2008-2014
Pushkin State Russian language Institute
2012
University of Amsterdam
2003-2008
This study is conducted in the context of booming development e-commerce shopping Vietnam. The rising demand for online has resulted increased pressure on workforce optimization and automation customer service processes platforms. To meet need care response, significant resources manpower, time, cost are required. Therefore, to optimize costs, reduce response enhance care, applying artificial intelligence become a top choice. purpose this explore factors that directly affect experience using...
This article aims to discover the influence of Electronic word mouth (eWOM) on consumer purchase intentions within context TikTok Shop, with particular attention given household products. The motivation behind this study is explain key variables that determine role eWOM as a major driver behavior in digital market. A detailed model was also recommended clearly establish how information perceived useful and reader attitudes towards shared content purchasing behaviors. Conducting mixed-methods...
The project aims to understand and analyze the factors influencing food buying behavior help improve consumers' health on e-commerce platforms. As life gets busier, consumers tend search for choose healthy products online. Understanding this shopping will businesses product suppliers platform better orient their business strategies. This study combines both qualitative quantitative research methods. Based data collected from a survey of 400 people, was analyzed using SmartPLS 4 software....
The rapid advancement of artificial intelligence (AI) has significantly transformed various industries, including online advertising on social networks. Businesses are increasingly investing in and developing AI-driven strategies. advent Artificial Intelligence been recognized as a revolutionary force across industries fields, with networks regarded prominent trend that is actively being developed invested by businesses. This study was conducted to identify the factors influencing intention...
In today's rapidly evolving e-commerce environment, where online shopping has become integral to consumer behavior, understanding the factors influencing brand loyalty is crucial for businesses aiming succeed in digital market. This research seeks explore determinants of among consumers Vietnam, particularly context household appliance brands. Furthermore, study aims shed light on mediating effects trust and customer satisfaction loyalty. The insights gained will be instrumental formulating...
In this technical demonstration we showcase the MediaMill system. A search engine that facilitates access to news video archives at a semantic level. The core of system is an unprecedented lexicon 100 automatically detected concepts. Based on demonstrate how users can obtain highly relevant retrieval results using query-by-concept. addition, show concepts be exploited for novel applications advanced visualizations. Several aspects are evaluated as part our TRECVID 2005 efforts.
At one end of the spectrum, research in interactive content-based retrieval concentrates on machine learning methods for effective use relevance feedback. On other end, information visualization community focuses conveying to user. What is lacking considering and as truly integrated parts search system. In such an system, there are many degrees freedom like similarity function, number images display, image size, different modes, possible feedback modes. To base optimal values all those user...
In this paper we present the methods underlying MediaMill semantic video search engine. The basis for engine is a indexing process which currently based on lexicon of 491 concept detectors. To support user in navigating collection, system defines visual similarity space, thread and browsers to explore them. We compare different their utility within TRECVID benchmark. 2005, obtained top-3 result 19 out 24 topics. 2006 14 24.
In this paper, we introduce a new approach to learn dissimilarity for interactive search in content based image retrieval. literature, is often learned via the feature space by selection,feature weighting or parameterized function of features. Different from existing techniques, use relevance feedback adjust space. To create space, Pekalska's method [15]. After user gives feed-back, apply active learning with one-class SVM on Results Corel dataset 10000 images and TrecVid collection 43907...
The nociceptive withdrawal reflex (NWR) has been proven to be a valuable tool in the objective assessment of central hyperexcitability system at spinal level that is present some chronic pain disorders, particularly low back and neck pain. However, most studies on focus population differences between patients healthy individuals do not provide tools for individual assessment. In this study, prediction model was developed objectively assess individuals. method based statistical properties EMG...
In this paper, we argue to learn dissimilarity for interactive search in content based image retrieval. literature, is often learned via the feature space by selection, weighting or adjusting parameters of a function features. Other than existing techniques, use feedback adjust independent space. This has great advantage that it manipulates directly. To create space, method proposed Pekalska and Duin, selecting set images called prototypes computing distances those all collection. After user...
In the rapidly developing digital economy, Vietnamese students' consumption behavior is changing significantly, particularly with rise of impulsive shopping influenced by short videos from Key Opinion Consumers (KOCs). Specifically, second-hand footwear products (used shoes) stand out as an item that regularly introduced KOCs and attracts great interest students, leading to decisions due their affordability uniqueness. This study investigates impact (Key Consumers) on students within...
Generally, measuring the Information and Communication Technology (ICT) maturity is first step to build a new knowledge system in an enterprise.Knowing their ICT also helps enterprises make plan for improving state strengthen competitive capability.In this paper, based on four main factors: Infrastructure, Application, Human Resource Policy.The concept of fuzzy set applied Analytic Network Process (ANP) propose model enterprise's under uncertain environment.Using group ANP approach determine...
The results of a study are presented, in which people queried news archive using an interactive video retrieval system. 242 search sessions by 39 participants on 24 topics were assessed. Before, during and after the study, filled questionnaires about their expectations search. questionnaire data, logged user actions system, queries formulated users, quality measure each studied. show that concerning 'specific' or objects better retrieved than 'general' scenes. Users able to estimate overall...
We consider the interaction with salient details in image i.e. points, lines, and regions. Interactive detail definition goes further than summarizing into a set of since saliency depends on context, application user. propose an framework for from perspective user, which dynamically updates user- context-dependent based relevance feedback. A number instantiations are presented.