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Session-Recommendation Based on Gated Neural Network to Extract Item Structure Feature Graph
The issue of inaccurate user portrait recommendations for short-term conversations is solved. The classical recommendation is based on an assumption: the user's historical behavior can represent the user's stable long-term preferences, and the result is ...
Design and research of archives management system based on Data Mining Technology
In order to enrich the functions of the archives management system, data mining technology is selected as the research tool, and the user service function and text type division function are taken as the key design contents. A new research on the design ...
Analysis of Capital Structure Determinants of Property Companies Listed on Indonesia Stock Exchange Using Internal, External, and Lag-One Variables to Measure Speed of Adjustment
The goal of the paper is to determine the impact of lag-one, liquidity, land bank, interest coverage ratio, asset turnover, risk, cashflow, world oil prices, currency exchange rates, and economic growth to capital structure. Data were retrieved from 26 ...
Learned Buffer Replacement for Database Systems
Most current database buffering schemes adopt an empirical design, which cannot adapt to the change of workloads. In this paper, we show how we can use machine learning to help design a new buffer replacement policy for database systems. We name the new ...
Research on the Impact of Big Data Technology on Management Accounting
As the application of big data technology continues to expand. The rational use of big data technology in management accounting. Big data technology makes accounting work efficiency significantly improved. Big data technology has promoted the reform and ...
Construction of Food Safety Inspection Subject Database Based on Improved Association Rule Mining Algorithm
The frequent occurrence of food safety problems has seriously endangered people's health. Food safety has gradually become a major problem in China, and it has become a very urgent task to dig out the potential information of food safety and conduct ...
Reimagining a New Transformation of Digital Forensic Accounting: Strategic Analysis of the Use of Big Data Analytics in the Covid-19 Pandemic Era as an Opportunity for the Industries in Indonesia
The focus of this research is to find on how big data could be used in forensic accounting and be a solution in this COVID-19 (Corona Virus Disease 2019) era. Nowadays, industrial revolution 4.0 rises together with the sophisticated technologies that ...
Learning to Prune: General and Efficient Approximate Nearest Neighbor Search with Direction Navigating Graph
The approximate k-Nearest Neighbor (kNN) graph has been proved extremely useful in approximate nearest neighbor search (ANNS). However, under the high-dimensional and large-scale circumstance, the performance of nearest neighbor search is challenging due ...
Chinese Word Segmentation with Many Rare Terms in Low-Resource Scenarios
In constructing the domain-specific knowledge graphs, we can use the texts accumulated in the domain as data sources for analysis. However, in many domains, there are many rare terms in the text that make the generic corpus inapplicable, but no domain-...
Research on the Application of EMD Decomposition-based AR Model in Popularity Prediction of Public Sentiment on Events
Under the background of continuous development of the network, more and more people tent to voice their opinions on the network, which makes the network public sentiment gradually develop into the main battlefield of public sentiment, and also makes the ...
DSMCA: Deep Supervised Model with the Channel Attention Module for Cross-modal Retrieval
Cross-modal retrieval has become a highlighted research topic, to provide flexible retrieval experience across multimedia data. It is challenging to retrieve information on massive multimodal data due to the heterogeneity and semantic gap of multimodal ...
Dynamic Topic Modeling of Covid-19 Vaccine-Related Tweets
The Covid-19 pandemic has made a huge impact on the world. Vaccines are regarded as the universal solution to mitigate the spread of the pandemic. Vaccination programs have been initiated by all countries in the past one year or so. The public opinion ...
Short-Term Prediction Model of Water Level Based on ATT-ConvLSTM
At present, under extreme weather conditions, flood events caused by river overflow occur frequently, which poses a great threat to people's life and property safety. In order to prevent the disaster caused by flood and take preventive measures in ...
Predicting the Severity of the Road Accidents in Senegal: An Empirical Study
Road accidents are a major problem, the consequences of which have negative impacts on the economy, health and development of a country in general. The recrudescence of road accidents in Senegal during these last years has aroused a great debate in which ...
The Relevancy of Earnings on Post XBRL Adoption for Indonesia Firm Value with Environmental, Social and Governance (ESG) as Moderating Variable
We investigate the impact of earnings on firm value in the Indonesian Capital Market after the adoption of the Extensive Business Reporting Language (XBRL), considering the quality of Environmental, Social, and Governance reporting (ESG). Our sample ...
FM-YOLO Object Detection Algorithm
Aiming at the problems of YOLOv4 with many parameters and low detection accuracy, a lightweight FM-YOLO (Fused Mobile-You Only Look Once) object detection algorithm is proposed. The algorithm improves the convolution layer of the deep network for feature ...
A Masked Facial Landmarks Localization Method Considering the Mask-Face Contact Characteristics
At present, it has become normal for people to travel with masks. In order to meet the challenge of face recognition caused by mask occlusion, a new method for landmark localization of masked face was proposed in this study. Correspondingly, a 68-point ...