Layout optimization of oil-gas gathering and transportation system in constrained three-dimensional space

In the Web 2.0 era, the problem of uneven quality and overload of online reviews is very serious, and the cognitive cost of obtaining valuable content from them is getting higher and higher. This paper explores an effective solution to address comment overload by means of information recommendation in order to improve the utilization of online information and information service quality. This paper proposes a review ranking recommendation scheme that focuses on the information quality of reviews and places more emphasis on satisfying users’ personal information need. The paper’s approach is used to extract and rank low-frequency keywords that appear only once in the comment set. The more useful the extracted phrases are, the more useful this review will be and the higher the usefulness votes will be, which can reflect the actual situation of this product more objectively and accurately and facilitate better consumption decisions for consumers. The experimental results show that users’ satisfaction with the perceived usefulness of the reviews is jointly influenced by the information quality of Meituan’s reviews and users’ individual information needs; the recommendation strategy achieves the organic integration of the two, and the evaluation results under three different recommendation modes show that compared with “interest recommendation” and “utility recommendation,” the satisfaction score of “fusion recommendation” is the highest

Section: Research On Review-based Recommendation Systemsmentioning

confidence: 99%

Construction of Machine Learning Model Based on Text Mining and Ranking of Meituan Merchants

Tang

Liao

Huang

et al. 2021

“…e M value is used to adjust the respective weight and weighted areas of neighboring frames in the fusion process, and the higher the M value, the wider the transition range between neighboring frames and the smoother the transition, and vice versa. is nonlinear fusion process can adjust the transition rate and range at the boundary of the blending range in real time to solve the ghosting problem and enhance the fusion effect of the image [30][31][32]. e experiment is divided into two parts: the simulation part compares the size of the shadow area visually through data software, and the actual test part compares the fusion effect to judge the advantages and disadvantages of the two methods.…”

Section: Nonlinear Fusionmentioning

confidence: 99%

Research on the Application of Environmental Art Design Based on the Combination of VR and Panoramic Video Technology

Kong¹

2021

The panoramic video technology is introduced to collect multiangle data of design objects, draw a 3D spatial model with the collected data, solve the first-order differential equation for the 3D spatial model, obtain the spatial positioning extremes of the object scales, and realize the alignment and fusion of panoramic video images according to the positioning extremes above and below the scale space. Then, the panoramic video is generated and displayed by computer processing so that the tourist can watch the scene with virtual information added to the panoramic video by wearing the display device elsewhere. It solves the technical difficulties of the high complexity of the algorithm in the system of panoramic video stitching and the existence of stitching cracks and the “GHOST” phenomenon in the stitched video, as well as the technical difficulties that the 3D registration is easily affected by the time-consuming environment and target tracking detection algorithm. The simulation results show that the panoramic video stitching method performs well in real time and effectively suppresses stitching cracks and the “GHOST” phenomenon, and the augmented reality 3D registration method performs well for the local enhancement of the panoramic video.

“…e top-down approach refers to extracting the relevant ontology and pattern information directly from the highquality dataset, while the bottom-up approach refers to extracting the resource patterns from the collected large amount of data and then selecting the ones with high confidence as the basis for the subsequent knowledge map construction [13]. For some more mature domains with complete knowledge systems, the top-down approach is usually adopted; that is, the schema ontology is defined first, and then knowledge is extracted using supervised, semisupervised, and unsupervised methods, and finally the domain knowledge map is improved by combining knowledge fusion and knowledge inference mechanisms.…”

Section: Related Knowledge and Research Ideasmentioning

confidence: 99%

Mind Map Construction for English Grammar Teaching Based on Knowledge Map

Kuang

2021

The analysis of the frontier issues of the English language teaching method in China is of great guidance for English language teaching. Based on the ontology model of English teaching domain, the knowledge map of English teaching in colleges and universities is constructed by fusing heterogeneous English subject data from multiple sources. Firstly, we obtain domain knowledge from relevant websites and existing documents through web crawlers and other techniques and clean the data based on BERT model; then, we use Word2Vec to judge the similarity between the research directions of characters and solve the entity alignment problem; based on the scientific knowledge map theory, we count the frequency of keywords in each year and analyze them to describe the association and union between keywords. It can explain the current situation and trend, rise and fall, disciplinary growth points, and breakthroughs of ELT. Through keyword analysis, the hot issues mainly revolve around ELT, English teaching, college English, grammar-translation method, curriculum reform, and so forth, to realize the quick query and resource statistics of ELT basic data, in order to promote the subsequent English discipline assessment work to be completed more efficiently.