A tutorial on internet of behaviors: Concept, architecture, technology, applications, and challenges
Q Zhao, G Li, J Cai, MC Zhou… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
In his blogs of 2012, Dr. Göte Nyman coined Internet of Behaviors (IoB). In his idea, people's
behaviors are very good predictors of their needs, and hence technology companies can …
behaviors are very good predictors of their needs, and hence technology companies can …
Tourism recommendation system: A survey and future research directions
Abstract A Recommendation System (RS) is an intelligent computer based system which
provide valuable suggestions to the user and are used in several domains. Social media …
provide valuable suggestions to the user and are used in several domains. Social media …
虚拟沟通如何影响上下级权力配置? 基于身份自构和互构的视角
毛江华， 陈文文， 金灿 - 心理科学进展, 2024 - journal.psych.ac.cn
信息通信技术的广泛应用使得虚拟沟通逐渐成为组织中最主要的沟通方式.
相较于传统面对面沟通, 虚拟沟通具有线索滤除, 地理分散性和异步性等特征 …
相较于传统面对面沟通, 虚拟沟通具有线索滤除, 地理分散性和异步性等特征 …
Exploring Consumption Intent in Live E-Commerce Barrage: A Text Feature-Based Approach Using Bert-BiLSTM Model
Y Xiong, N Wei, K Qiao, Z Li, Z Li - IEEE Access, 2024 - ieeexplore.ieee.org
E-commerce with the immersive scene of live streaming gives users a new interaction and
consumption experience, extending a new path for traditional marketing. Live barrage, being …
consumption experience, extending a new path for traditional marketing. Live barrage, being …
Analyzing Social Exchange Motives With Theory-Driven Data and Machine Learning
K Igwe, K Durrheim - IEEE access, 2024 - ieeexplore.ieee.org
This study investigated the capability of machine learning to analyze and predict individuals'
motives within an experimental game context. Although humans predict the motives of …
motives within an experimental game context. Although humans predict the motives of …
Rumors suppression in healthcare system: Opinion-based comprehensive learning particle swarm optimization
The rumors in the healthcare system have the attributes of fast spread and severe social
influence. Even worse, it may cause the collapse of medical services and the death of many …
influence. Even worse, it may cause the collapse of medical services and the death of many …
Reusable Component Retrieval: A Semantic Search Approach for Low-Resource Languages
A common practice among programmers is to reuse existing code, accomplished by
performing natural language queries through search engines. The main aim of code …
performing natural language queries through search engines. The main aim of code …
Deeply integrating unsupervised semantics and syntax into heterogeneous graphs for inductive text classification
Graph-based neural networks and unsupervised pre-trained models are both cutting-edge
text representation methods, given their outstanding ability to capture global information and …
text representation methods, given their outstanding ability to capture global information and …
Multiplex network embedding for implicit sentiment analysis
X Zhao, Y Liu, Z Jin - Complex & Intelligent Systems, 2021 - Springer
As one of the hot research directions in natural language processing, sentiment analysis has
received continuous and extensive attention. Different from explicit sentiment words …
received continuous and extensive attention. Different from explicit sentiment words …
Literature review on Intention Mining-oriented Process Mining in information system
Process Mining focused only on the activity-oriented process and neglected the users'
behaviors behind the activities, which led to overlooking the reality that they proposed to …
behaviors behind the activities, which led to overlooking the reality that they proposed to …