A Review Expert Recommendation Method Based on Comprehensive Evaluation in Multi-Source Data

Shen, Mengmeng; Zhao, Shiwei; Wang, Jun; Ding, Liting

doi:10.1145/3448218.3448236

Cited by 3 publications

(3 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…At present, most statistical machine learning research has proposed some algorithms to solve the distribution shift or perform data fusion [ 6 , 7 ]. For example, Ben-David and Schuller pointed out that domain adaptation problems involving data set or covariate transfer should first align the data distribution for further data analysis [ 8 ]. Such algorithms usually suffer from bias in the sampling process, which is generally solved by weighting [ 9 ].…”

Section: Methodsmentioning

confidence: 99%

Urban Landscaping Landscape Design and Maintenance Management Method Based on Multisource Big Data Fusion

Zhu

2022

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

In the process of continuous urbanization construction, the construction scale of urban landscaping projects is getting larger. At the same time, the design and the maintenance of the management is becoming more important. Recently, the rocketing development of the ternary world of many people, machines, and things has triggered the generation of multisource fusion data and the development of artificial intelligence technology, and the world has entered the era of multisource big data intelligence. Multisource data refer to the fusion of multiple types of data with effective characteristic information, which has richer, more comprehensive, more detailed, and more effective information than a single data source, and can provide high-quality data sources for various complex problems. Therefore, more effective data can be provided for the definition of urban fringe areas. From the moment Google’s AlphaGo defeated Go world champion Li Shishi, the chess game has been occupied by AI, setting off an upsurge in the study, research, and application of AI technology. Colleges and universities around the world have followed suit and set up AI-related majors. Deep learning is one of the cutting-edge technologies in the field of artificial intelligence. It is a method to solve complex real-life problems by extracting effective information from the data and mining key features on the basis of a large amount of learning and computing data.

show abstract

Section: Methodsmentioning

confidence: 99%

Urban Landscaping Landscape Design and Maintenance Management Method Based on Multisource Big Data Fusion

Zhu

2022

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

show abstract

“…The experts give scores based on the GHS classification table and hazard comments. The final qualitative indicator scoring table is shown below [29][30][31].…”

Section: Determination Of Index Weight Of Flotation Collector Green E...mentioning

confidence: 99%

Construction of a Green-Comprehensive Evaluation System for Flotation Collectors

Cui

Cao

et al. 2023

Processes

View full text Add to dashboard Cite

The evaluation of flotation reagents performs an important role in the selection and green application of reagents. The green indexes and effect indexes of flotation collectors were selected by data literature method, system analysis method, mathematical model method, and qualitative and quantitative analysis method, and the green evaluation system of flotation collectors, flotation effect evaluation system, and comprehensive evaluation system of flotation collectors were established. The normalization method and expert evaluation methods were adopted to obtain the grade classification of quantitative and qualitative indicators, respectively. The analytic hierarchy process (AHP) was used to determine the weight of secondary indicators and tertiary indicators of the evaluation system and the weight of indicators at a lower level. Applying the fuzzy comprehensive evaluation (FCE), the trapezoidal function is selected to determine the index affiliation, the index system score is calculated according to the weighted average principle, and finally, the established evaluation system is applied in an example. The example application shows that the comprehensive evaluation system of flotation collectors can make a comprehensive evaluation of collectors from the aspects of the greenness of reagent, flotation effect, and cost, and it has a strong target and practicality for collectors evaluation. The establishment of the system has a guiding significance for the selection and use of flotation collectors.

show abstract

“…Text clustering is an unguided learning process, which refers to the clustering process under unsupervised conditions based on a certain distance between samples [2]. The clustering method can be used to divide a large amount of text into clusters that users can understand.…”

Section: Introduction Of Text Clustering 221 Definition and Applicati...mentioning

confidence: 99%

Application and analysis of text similarity in text clustering in the Chinese context

Fan

2023

ACE

View full text Add to dashboard Cite

With the development of the Internet, information sharing is higher, and the amount of information that each user is exposed to is increasing. How to find the information peoples want from so much information is a very important question. The vast majority of these resources are related to textual information. The most intuitive manifestation of these problems is that when people usually use search engines, enter a piece of text, and search out the relevant website, if the algorithm is not good, the search results will be very unsatisfactory. Therefore, this paper studies the application of text similarity in text clustering in the Chinese context. First, the basic concept of text similarity is introduced. In addition, text clustering is explained/explained from three aspects: definition, application, and general processing process. Secondly, combined with the existing data, some mainstream clustering algorithms are comprehensively summarized. Then, combined with the above content, the similarity calculation method in text clustering is analyzed. Finally, the above methods are compared and analyzed according to the experimental results in the Python environment.

show abstract

A Review Expert Recommendation Method Based on Comprehensive Evaluation in Multi-Source Data

Cited by 3 publications

References 12 publications

Urban Landscaping Landscape Design and Maintenance Management Method Based on Multisource Big Data Fusion

Urban Landscaping Landscape Design and Maintenance Management Method Based on Multisource Big Data Fusion

Construction of a Green-Comprehensive Evaluation System for Flotation Collectors

Application and analysis of text similarity in text clustering in the Chinese context

Contact Info

Product

Resources

About