Artiklar med krav på offentlig åtkomst - Jian-Wu BiLäs mer
Inte tillgängliga någonstans: 3
Personalized travel recommendation: a hybrid method with collaborative filtering and social network analysis
JL Chang, H Li, JW Bi
Current Issues in Tourism 25 (14), 2338-2356, 2022
Krav: National Natural Science Foundation of China
Hosts’ online affinities and their impacts on the number of online reviews on peer-to-peer platforms
D Chen, W Zhang, JW Bi, H Qiu, J Lyu
Tourism Management 100, 104817, 2024
Krav: Chinese Academy of Sciences, National Natural Science Foundation of China
Fine-grained tourism demand forecasting: A decomposition ensemble deep learning model
JW Bi, TY Han, Y Yao
Tourism Economics 29 (7), 1736-1763, 2023
Krav: National Natural Science Foundation of China
Tillgängliga någonstans: 21
Ranking products through online reviews: A method based on sentiment analysis technique and intuitionistic fuzzy set theory
Y Liu, JW Bi, ZP Fan
Information Fusion 36, 149-161, 2017
Krav: National Natural Science Foundation of China
Wisdom of crowds: Conducting importance-performance analysis (IPA) through online reviews
JW Bi, Y Liu, ZP Fan, J Zhang
Tourism Management 70, 460-478, 2019
Krav: National Natural Science Foundation of China
Multi-class sentiment classification: The experimental comparisons of feature selection and machine learning algorithms
Y Liu, JW Bi, ZP Fan
Expert Systems with Applications 80, 323-339, 2017
Krav: National Natural Science Foundation of China
A method for multi-class sentiment classification based on an improved one-vs-one (OVO) strategy and the support vector machine (SVM) algorithm
Y Liu, JW Bi, ZP Fan
Information Sciences 394, 38-52, 2017
Krav: National Natural Science Foundation of China
Modelling customer satisfaction from online reviews using ensemble neural network and effect-based Kano model
JW Bi, Y Liu, ZP Fan, E Cambria
International Journal of Production Research 57 (22), 7068-7088, 2019
Krav: National Natural Science Foundation of China
Exploring asymmetric effects of attribute performance on customer satisfaction in the hotel industry
JW Bi, Y Liu, ZP Fan, J Zhang
Tourism Management 77, 104006, 2020
Krav: National Natural Science Foundation of China
Daily tourism volume forecasting for tourist attractions
JW Bi, Y Liu, H Li
Annals of Tourism Research 83, 102923, 2020
Krav: National Natural Science Foundation of China
Tourism demand forecasting with time series imaging: A deep learning model
JW Bi, H Li, ZP Fan
Annals of tourism Research 90, 103255, 2021
Krav: Chinese Academy of Sciences, National Natural Science Foundation of China
A method for ranking products through online reviews based on sentiment classification and interval-valued intuitionistic fuzzy TOPSIS
Y Liu, JW Bi, ZP Fan
International Journal of Information Technology & Decision Making 16 (06 …, 2017
Krav: National Natural Science Foundation of China
Representing sentiment analysis results of online reviews using interval type-2 fuzzy numbers and its application to product ranking
JW Bi, Y Liu, ZP Fan
Information Sciences 504, 293-307, 2019
Krav: National Natural Science Foundation of China
Forecasting daily tourism demand for tourist attractions with big data: an ensemble deep learning method
JW Bi, C Li, H Xu, H Li
Journal of Travel Research 61 (8), 1719-1737, 2022
Krav: Chinese Academy of Sciences, National Natural Science Foundation of China
The construction of the affinity-seeking strategies of Airbnb homestay hosts
H Qiu, D Chen, JW Bi, J Lyu, Q Li
International Journal of Contemporary Hospitality Management 34 (3), 861-884, 2022
Krav: National Natural Science Foundation of China
Hotel booking through online travel agency: Optimal Stackelberg strategies under customer-centric payment service
GX Gao, JW Bi
Annals of Tourism Research 86, 103074, 2021
Krav: National Natural Science Foundation of China
International tourism demand forecasting with machine learning models: The power of the number of lagged inputs
JW Bi, TY Han, H Li
Tourism Economics 28 (3), 621-645, 2022
Krav: National Natural Science Foundation of China
A deep neural networks based recommendation algorithm using user and item basic data
JW Bi, Y Liu, ZP Fan
International journal of machine learning and cybernetics 11 (4), 763-777, 2020
Krav: National Natural Science Foundation of China
Perceived crowding and festival experience: The moderating effect of visitor-to-visitor interaction
H Cheng, Q Liu, JW Bi
Tourism Management Perspectives 40, 100888, 2021
Krav: National Natural Science Foundation of China
Ranking hotels through multi-dimensional hotel information: A method considering travelers’ preferences and expectations
JW Bi, TY Han, Y Yao, H Li
Information Technology & Tourism 24 (1), 127-155, 2022
Krav: National Natural Science Foundation of China
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