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学者姓名:张文
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Complete data on wastewater quality are essential for managing and monitoring wastewater treatment processes. Most management and monitoring methods involve the use of voluminous training data for imputation, but the problem is that the sensors used in wastewater treatment plants (WWTPs) collect only a limited amount of data. The lack of sufficient training data can diminish the accuracy of traditional imputation techniques. To address this problem, this study developed a novel approach called Miss-GBRT (imputing missing values with gradient boosting regression trees), which can impute missing values into wastewater quality data even with minimal training data. The proposed approach consists of a preprocessing stage and an imputation stage. In the preprocessing stage, different copies of masked datasets are produced from raw data according to various levels of missingness, after which pre-imputation is conducted to ensure the integrality of training data. In the imputation stage, Miss-GBRT is used to combine shallow regression trees to regress the residuals of time and impute each missing value into a masked dataset in a stepwise manner. We carried out extensive experiments on the WWTP datasets of the University of California, Irvine and Beijing Drainage Group to compare Miss-GBRT with baseline imputation methods. The results demonstrated that the proposed approach improves the accuracy with which missing wastewater quality data are imputed under limited training data. It can also perform better than other methods on datasets with considerable proportions of missing values.
Keyword :
Missing imputation Missing imputation WWTPs WWTPs Wastewater quality data Wastewater quality data Limited data Limited data Miss-GBRT Miss-GBRT
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GB/T 7714 | Zhang, Wen , Li, Rui , Zhao, Jiangpeng et al. Miss-gradient boosting regression tree: a novel approach to imputing water treatment data [J]. | APPLIED INTELLIGENCE , 2023 , 53 (19) : 22917-22937 . |
MLA | Zhang, Wen et al. "Miss-gradient boosting regression tree: a novel approach to imputing water treatment data" . | APPLIED INTELLIGENCE 53 . 19 (2023) : 22917-22937 . |
APA | Zhang, Wen , Li, Rui , Zhao, Jiangpeng , Wang, Jiawei , Meng, Xiaoyu , Li, Qun . Miss-gradient boosting regression tree: a novel approach to imputing water treatment data . | APPLIED INTELLIGENCE , 2023 , 53 (19) , 22917-22937 . |
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In recent years, there has been an increase in online review manipulation on the platforms of electronic commerce. Previous studies clarify the benefits and harms of online review manipulation for firms, and they provide mixed conclusions on the influence of online review manipulation. However, the effect of online review manipulation on product sales has not yet been thoroughly studied due to the covert nature of review manipulation. To fill this research gap, this paper examines the different effects of review manipulation in three dimensions: quantity manipulation, quality manipulation, and relation manipulation. Drawing on the Information Manipulation Theory, which reveals the manipulation behaviors of different dimensions, it is proposed that the influence of online review manipulation differs significantly among different information manipulation dimensions. The results of the empirical experiments show that the effect of review quantity manipulation on product sales exhibits an inverted U-shape. In addition, review quality manipulation positively affects product sales, but review relation manipulation exerts a negative effect. Moreover, the magnitude of the effect of review manipulation is contingent upon review manipulation duration. The findings shed light on the heterogeneous effect of review manipulation dimensions on product sales from an information manipulation perspective and suggest a need for improvement in online fraudulent review detection in the early stage of review manipulation.
Keyword :
Online review manipulation Online review manipulation Quantity manipulation Quantity manipulation Quality manipulation Quality manipulation Review manipulation duration Review manipulation duration Relation manipulation Relation manipulation
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GB/T 7714 | Wang, Qiang , Zhang, Wen , Li, Jian et al. Benefits or harms? The effect of online review manipulation on sales [J]. | ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS , 2023 , 57 . |
MLA | Wang, Qiang et al. "Benefits or harms? The effect of online review manipulation on sales" . | ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS 57 (2023) . |
APA | Wang, Qiang , Zhang, Wen , Li, Jian , Ma, Zhenzhong , Chen, Jindong . Benefits or harms? The effect of online review manipulation on sales . | ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS , 2023 , 57 . |
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The online review fraud process is an event in which a reviewer posts fraudulent reviews on an e-commerce platform with respect to a review target, such as a commodity or service. Extant studies on detecting fraudulent reviewers often rely on reviewer behavioral patterns and the textual content of reviews while ignoring the targets being reviewed. Based on the Goals-Plans-Action theory, we examine the relative importance of target features for fraudulent reviewer detection in comparison to that of non-target features. Target features refer to the features derived from the innate information related to the reviewed products or services while non-target features refer to the features derived from the acquired information related to the reviewed products or services. In this study, we analyze a sample from the Yelp.com dataset of restaurant reviews to help better understand the importance of target features and non-target features. The results suggest that using the combination of target features with non-target features can improve the performance of online fraudulent reviewer detection in comparison with using non-target features alone. Moreover, using the combination of target features with nontarget features will further improve the performance of online fraudulent reviewer detection when we consider the non-target features as conditioned on the reviewed target features rather than treating them as independent of each other.
Keyword :
Online review fraud Online review fraud Goals -Plans -Action theory Goals -Plans -Action theory Non -target features Non -target features Fraudulent reviewer detection Fraudulent reviewer detection Target features Target features
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GB/T 7714 | Wang, Qiang , Zhang, Wen , Li, Jian et al. Complements or confounders? A study of effects of target and non-target features on online fraudulent reviewer detection [J]. | JOURNAL OF BUSINESS RESEARCH , 2023 , 167 . |
MLA | Wang, Qiang et al. "Complements or confounders? A study of effects of target and non-target features on online fraudulent reviewer detection" . | JOURNAL OF BUSINESS RESEARCH 167 (2023) . |
APA | Wang, Qiang , Zhang, Wen , Li, Jian , Ma, Zhenzhong . Complements or confounders? A study of effects of target and non-target features on online fraudulent reviewer detection . | JOURNAL OF BUSINESS RESEARCH , 2023 , 167 . |
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GB/T 7714 | Zhang, Wen , Xu, Xiaofeng , Wu, Jun et al. Preface to the Special Issue on "Computational and Mathematical Methods in Information Science and Engineering" [J]. | MATHEMATICS , 2023 , 11 (14) . |
MLA | Zhang, Wen et al. "Preface to the Special Issue on "Computational and Mathematical Methods in Information Science and Engineering"" . | MATHEMATICS 11 . 14 (2023) . |
APA | Zhang, Wen , Xu, Xiaofeng , Wu, Jun , He, Kaijian . Preface to the Special Issue on "Computational and Mathematical Methods in Information Science and Engineering" . | MATHEMATICS , 2023 , 11 (14) . |
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Existing studies have made a great endeavor in predicting users' potential interests in items by modeling user preferences and item characteristics. As an important indicator of users' satisfaction and loyalty, repeat purchase behavior is a promising perspective to extract insightful information for community e-commerce. However, the repeated purchase behaviors of users have not yet been thoroughly studied. To fill in this research gap from the perspective of repeated purchase behavior and improve the process of generation of candidate recommended items this research proposed a novel approach called ReRec (Repeat purchase Recommender) for real-life applications. Specifically, the proposed ReRec approach comprises two components: the first is to model the repeat purchase behaviors of different types of users and the second is to recommend items to users based on their repeat purchase behaviors of different types. The extensive experiments are conducted on a real dataset collected from a community e-commerce platform, and the performance of our model has improved at least about 13.6% compared with the state-of-the-art techniques in recommending online items (measured by F-measure). Specifically, for active users, with w=1 and NUA & ISIN;5,25, the results of ReRec show a significant improvement (at least 50%) in recommendation. With alpha and sigma as 0.75 and 0.2284, respectively, the proposed ReRec for unactive users is also superior to (at least 13.6%) the evaluation indicators of traditional Item CF when NUB & ISIN;6, 25. To the best of our knowledge, this paper is the first to study recommendations in community e-commerce.
Keyword :
user behavior modeling user behavior modeling repeat purchase repeat purchase recommendation system recommendation system community e-commerce community e-commerce ReRec ReRec
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GB/T 7714 | Wu, Jun , Li, Yuanyuan , Shi, Li et al. ReRec: A Divide-and-Conquer Approach to Recommendation Based on Repeat Purchase Behaviors of Users in Community E-Commerce [J]. | MATHEMATICS , 2022 , 10 (2) . |
MLA | Wu, Jun et al. "ReRec: A Divide-and-Conquer Approach to Recommendation Based on Repeat Purchase Behaviors of Users in Community E-Commerce" . | MATHEMATICS 10 . 2 (2022) . |
APA | Wu, Jun , Li, Yuanyuan , Shi, Li , Yang, Liping , Niu, Xiaxia , Zhang, Wen . ReRec: A Divide-and-Conquer Approach to Recommendation Based on Repeat Purchase Behaviors of Users in Community E-Commerce . | MATHEMATICS , 2022 , 10 (2) . |
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Low user participation in online questions-and-answers (Q&A) communities to contribute knowledge is a serious threat to the sustainability of online forums. This subject is rarely addressed in the context of content shared at these forums. Furthermore, no study has introduced solutions to reduce low participation exclusively considering participants' age, gender, and education level. User participation in the online question and answer (Q&A) communities to contribute knowledge was mostly examined by applying variance-based methodologies using primary and secondary datasets. This study has targeted the asymmetrical relationship between variables to achieve users' participation in technical and nontechnical knowledge-sharing communities. We have collected valid responses, 382 from nontechnical and 395 from technical knowledge-sharing communities, and applied fuzzy-set qualitative comparative analysis (fsQCA) to get various equally effective configurations. These configurations explain maximum users' participation in sharing knowledge in online Q&A communities. fsQCA results have also revealed that to achieve maximum user participation and knowledge contribution in technical knowledge-sharing communities, a sense of reciprocation and online social interaction are the necessary conditions, whereas for nontechnical knowledge-sharing communities, online social interaction is the necessary condition. Study findings are important for online Q&A community managers to minimize low user participation and achieve maximum knowledge contribution in online communities.
Keyword :
knowledge-sharing communities knowledge-sharing communities factor configurations factor configurations Q&A community Q&A community technical Q&A communities technical Q&A communities nontechnical Q&A communities nontechnical Q&A communities Fuzzy-set qualitative comparative analysis (fsQCA) Fuzzy-set qualitative comparative analysis (fsQCA)
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GB/T 7714 | Mustafa, Sohaib , Zhang, Wen . How to Achieve Maximum Participation of Users in Technical Versus Nontechnical Online Q&A Communities? [J]. | INTERNATIONAL JOURNAL OF ELECTRONIC COMMERCE , 2022 , 26 (4) : 441-471 . |
MLA | Mustafa, Sohaib et al. "How to Achieve Maximum Participation of Users in Technical Versus Nontechnical Online Q&A Communities?" . | INTERNATIONAL JOURNAL OF ELECTRONIC COMMERCE 26 . 4 (2022) : 441-471 . |
APA | Mustafa, Sohaib , Zhang, Wen . How to Achieve Maximum Participation of Users in Technical Versus Nontechnical Online Q&A Communities? . | INTERNATIONAL JOURNAL OF ELECTRONIC COMMERCE , 2022 , 26 (4) , 441-471 . |
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Every emerging technology has its pros and cons; health-conscious users pay more importance to healthy and environment-friendly technologies. Based on the UTAUT2 model, we proposed a comprehensive novel model to study the factors influencing consumers' decision-making to adopt the technology. Compared to prior studies that focused on linear models to investigate consumers' technology adoption intentions and use behavior. This study used a Structural Equation Modeling-fuzzy set qualitative comparative analysis (SEM-fsQCA) approach to account for the complexity of customers' decision-making processes in adopting new technology. We collected valid responses from 830 consumers, analyzed them, and evaluated them using a deep learning SEM-fsQCA technique to capture symmetric and asymmetric relations between variables. We have extensively incorporated a health-consciousness attitude as a predictor and mediator to understand better the decision-making toward technology adoption, specifically 5G technology. All the factors tested in our model are statistically significant except the economic factors. Health-consciousness attitude (HCA) and behavioral intention (BI) found significant predictors and valid mediators in the process of 5G technology adoption. FsQCA provided six configurations to achieve high 5G adoption. The findings have significant practical ramifications for telecom corporations, advertisers, government officials, and key policymakers. Additionally, the study added substantial theoretical literature to technology adoption, particularly the adoption of 5G technology.
Keyword :
fuzzy set qualitative comparative analysis (fsQCA) fuzzy set qualitative comparative analysis (fsQCA) structural equation modeling (SEM) structural equation modeling (SEM) health-consciousness attitude health-consciousness attitude UTAUT2 UTAUT2 behavioral intention behavioral intention 5G technology adoption 5G technology adoption
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GB/T 7714 | Mustafa, Sohaib , Zhang, Wen , Shehzad, Muhammad Usman et al. Does Health Consciousness Matter to Adopt New Technology? An Integrated Model of UTAUT2 With SEM-fsQCA Approach [J]. | FRONTIERS IN PSYCHOLOGY , 2022 , 13 . |
MLA | Mustafa, Sohaib et al. "Does Health Consciousness Matter to Adopt New Technology? An Integrated Model of UTAUT2 With SEM-fsQCA Approach" . | FRONTIERS IN PSYCHOLOGY 13 (2022) . |
APA | Mustafa, Sohaib , Zhang, Wen , Shehzad, Muhammad Usman , Anwar, Aliya , Rubakula, Gelas . Does Health Consciousness Matter to Adopt New Technology? An Integrated Model of UTAUT2 With SEM-fsQCA Approach . | FRONTIERS IN PSYCHOLOGY , 2022 , 13 . |
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Online question and answer (Q&A) community users' knowledge contribution behaviour was studied using primary and secondary data and different research approaches. However, this topic is never explored in the context of content (knowledge) shared in these communities. Furthermore, online social interaction's role as a mediator is also ignored in online Q&A communities. This study model explored community recognition, online social interaction, devotion to community, self-satisfaction, and a sense of reciprocation's role in the knowledge contribution behaviour of Q&A community users. We collected 709 online Q&A community users' responses and used SEM-ANN two-stage hybrid approach to capture linear and nonlinear relationships between variables. Results revealed that all explanatory variables are positively significant, while the sense of reciprocation is negatively significant to knowledge contribution. It strengthens the earlier researcher's claim that the term 'tragedy of common' implies online Q&A communities. Normalised importance results in the second stage figuring out that community recognition, online social interaction, and community devotion are the most influential factors behind knowledge contribution in online Q&A communities. Findings amplify our apprehension about the knowledge contribution behaviour of Q&A community users. It also provides evidence that dual-stage deep learning modelling can better capture variables' linear and nonlinear relationships.
Keyword :
SEM-ANN SEM-ANN online social interaction online social interaction knowledge contribution knowledge contribution non-technical knowledge-sharing community non-technical knowledge-sharing community Online questions and answer community Online questions and answer community technical knowledge-sharing community technical knowledge-sharing community
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GB/T 7714 | Mustafa, Sohaib , Zhang, Wen . Predicting users knowledge contribution behaviour in technical vs non-technical online Q&A communities: SEM-Neural Network approach [J]. | BEHAVIOUR & INFORMATION TECHNOLOGY , 2022 , 42 (15) : 2521-2544 . |
MLA | Mustafa, Sohaib et al. "Predicting users knowledge contribution behaviour in technical vs non-technical online Q&A communities: SEM-Neural Network approach" . | BEHAVIOUR & INFORMATION TECHNOLOGY 42 . 15 (2022) : 2521-2544 . |
APA | Mustafa, Sohaib , Zhang, Wen . Predicting users knowledge contribution behaviour in technical vs non-technical online Q&A communities: SEM-Neural Network approach . | BEHAVIOUR & INFORMATION TECHNOLOGY , 2022 , 42 (15) , 2521-2544 . |
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The sustainability of an open source project is essential for the long-term and reliable development of software. Most existing studies focus on the recommendation accuracy of bug report assignment while ignoring inexperienced developers in the open source community. This gives inexperienced developers less opportunity to resolve bugs and can cause them to gradually lose interest in the development of open source software (OSS). To address this problem, this article proposes a novel approach called sustainable recommender (SusRec) to make sustainable report assignments without sacrificing accuracy. The SusRec approach is based on multimodal learning and ensemble learning, and it consists of two stages: the preprocessing stage and the developer scoring stage. In the preprocessing stage, the approach selects candidate developers who have participated in the resolution of bugs under the product of a new bug report. It then divides the candidate developers into three types-core developers, active developers, and peripheral developers-according to their experience. In the developer scoring stage, multimodal learning is adopted to score the three types of bug report-developer pairs, and ensemble learning is adopted to weight the scores of the three types of bug report-developer pairs and recommend developers for bug reports. We conduct extensive experiments using the bug repositories of the Eclipse and Mozilla projects to compare the proposed SusRec approach with the baseline methods in bug report assignment. The results demonstrate that the proposed SusRec approach cannot only improve the accuracy of developer recommendations for bug reports, but also the sustainability of OSS projects by providing more opportunities for active developers and peripheral developers to participate in bug resolution.
Keyword :
Weight measurement Weight measurement ensemble learning ensemble learning Sustainable development Sustainable development Bug report assignment Bug report assignment Computer bugs Computer bugs Statistics Statistics multimodal learning multimodal learning Collaboration Collaboration recommendation recommendation sustainability sustainability Sociology Sociology Cultural differences Cultural differences
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GB/T 7714 | Zhang, Wen , Zhao, Jiangpeng , Peng, Rui et al. SusRec: An Approach to Sustainable Developer Recommendation for Bug Resolution Using Multimodal Ensemble Learning [J]. | IEEE TRANSACTIONS ON RELIABILITY , 2022 , 72 (1) : 61-78 . |
MLA | Zhang, Wen et al. "SusRec: An Approach to Sustainable Developer Recommendation for Bug Resolution Using Multimodal Ensemble Learning" . | IEEE TRANSACTIONS ON RELIABILITY 72 . 1 (2022) : 61-78 . |
APA | Zhang, Wen , Zhao, Jiangpeng , Peng, Rui , Wang, Song , Yang, Ye . SusRec: An Approach to Sustainable Developer Recommendation for Bug Resolution Using Multimodal Ensemble Learning . | IEEE TRANSACTIONS ON RELIABILITY , 2022 , 72 (1) , 61-78 . |
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Accurate traffic congestion prediction is crucial for efficient urban intelligent transportation systems (ITS). Though most existing methods attempt to characterize spatial correlation and temporal correlation in traffic congestion, few of them consider spatial heterogeneity and temporal heterogeneity: spatial correlation depends on temporality, and temporal correlation depends on spatiality in traffic congestion. To address this problem, this paper proposes a novel approach called TCP-BAST with bilateral alternation to simultaneously capture both the correlation and the heterogeneity between spatiality and temporality to improve traffic congestion prediction. First, to capture spatial correlation and spatial heterogeneity, we propose a spatial–temporal alternation (STA) module with multi-head graph attention networks and temporal embedding. Second, to capture temporal correlation and temporal heterogeneity, we propose a temporal-spatial alternation (TSA) module with multi-head masked attention networks and spatial embedding. Third, to predict the traffic congestion of multiple road sections in a traffic network, we propose a spatial–temporal fusion (STF) module to fuse the multi-grained spatial-temporal features derived from the STA and TSA modules. The experimental results on a real-world traffic dataset demonstrate that the proposed TCP-BAST approach outperforms the baseline methods in terms of both the mean absolute error (MAE) and the root mean squared error (RMSE). Both spatial-temporal alternation and temporal-spatial alternation are important for improving traffic congestion prediction, with the former being more critical than the latter. © 2022 Elsevier Inc.
Keyword :
Bilateral alternation; Spatial heterogeneity; Spatial-temporal fusion; Temporal heterogeneity; Traffic congestion prediction Bilateral alternation; Spatial heterogeneity; Spatial-temporal fusion; Temporal heterogeneity; Traffic congestion prediction
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GB/T 7714 | Zhang, W. , Yan, S. , Li, J. . TCP-BAST: A novel approach to traffic congestion prediction with bilateral alternation on spatiality and temporality [J]. | Information Sciences , 2022 , 608 : 718-733 . |
MLA | Zhang, W. et al. "TCP-BAST: A novel approach to traffic congestion prediction with bilateral alternation on spatiality and temporality" . | Information Sciences 608 (2022) : 718-733 . |
APA | Zhang, W. , Yan, S. , Li, J. . TCP-BAST: A novel approach to traffic congestion prediction with bilateral alternation on spatiality and temporality . | Information Sciences , 2022 , 608 , 718-733 . |
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