Information Filtering via Improved Similarity Definition

2010 ◽  
Vol 27 (6) ◽  
pp. 068903 ◽  
Author(s):  
Pan Xin ◽  
Deng Gui-Shi ◽  
Liu Jian-Guo
Keyword(s):  
Information Filtering

scholarly journals Who Likes What Kind of News? The Relationship Between Characteristics of Media Consumers and News Interest

SAGE Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 215824402110030
Author(s):  
Kai Kaspar ◽  
Lisa Anna Marie Fuchs
Keyword(s):  
Big Five ◽  
Information Filtering ◽  
Personal Characteristics ◽  
Self Esteem ◽  
Big Five Personality ◽  
Regression Analyses ◽  
Uses And Gratification ◽  
German Speaking ◽  
Explained Variance ◽  
The Relationship

Stimulated by the uses-and-gratification approach, this study examined the joint relation of several consumer characteristics to news interest. In total, 1,546 German-speaking participants rated their interest in 15 major news categories and several personal characteristics, including gender, age, the Big Five personality traits, self-esteem, as well as general positive and negative affect. Regression analyses examined the amount of interindividual variance in news interest that can be explained by this set of consumer characteristics. Overall, the amount of explained variance differed remarkably across news categories, ranging from 4% for entertainment-related news to 25% for news about technology. The most powerful explaining variables were participants’ gender, age, openness to experiences, and their amount of general positive affect. The results suggest that news interest should be defined and operationalized as a concept with multiple facets covering a huge range of content. Also, the results are important for media producers and journalists with respect to the conflict between increased need gratification of consumers and information filtering via personalized news content.

Trust and fuzzy inference based cross domain serendipitous item recommendations (TFCDSRS)

2021 ◽  
pp. 1-13
Author(s):  
Richa ◽  
Punam Bedi
Keyword(s):  
Fuzzy Inference ◽  
Mean Absolute Error ◽  
Information Filtering ◽  
Absolute Error ◽  
User Acceptance ◽  
Decision Making Process ◽  
End User ◽  
Cross Domain ◽  
F Measure ◽  
Filtering Approach

Recommender System (RS) is an information filtering approach that helps the overburdened user with information in his decision making process and suggests items which might be interesting to him. While presenting recommendation to the user, accuracy of the presented list is always a concern for the researchers. However, in recent years, the focus has now shifted to include the unexpectedness and novel items in the list along with accuracy of the recommended items. To increase the user acceptance, it is important to provide potentially interesting items which are not so obvious and different from the items that the end user has rated. In this work, we have proposed a model that generates serendipitous item recommendation and also takes care of accuracy as well as the sparsity issues. Literature suggests that there are various components that help to achieve the objective of serendipitous recommendations. In this paper, fuzzy inference based approach is used for the serendipity computation because the definitions of the components overlap. Moreover, to improve the accuracy and sparsity issues in the recommendation process, cross domain and trust based approaches are incorporated. A prototype of the system is developed for the tourism domain and the performance is measured using mean absolute error (MAE), root mean square error (RMSE), unexpectedness, precision, recall and F-measure.

scholarly journals Recommender systems in model-driven engineering

2021 ◽  
Author(s):  
Lissette Almonte ◽  
Esther Guerra ◽  
Iván Cantador ◽  
Juan de Lara
Keyword(s):  
Recommender Systems ◽  
Information Filtering ◽  
Research Work ◽  
Model Driven Engineering ◽  
Video Broadcasting ◽  
Model Driven ◽  
Challenges And Opportunities ◽  
Mapping Review ◽  
Development Processes ◽  
Systematic Mapping Review

AbstractRecommender systems are information filtering systems used in many online applications like music and video broadcasting and e-commerce platforms. They are also increasingly being applied to facilitate software engineering activities. Following this trend, we are witnessing a growing research interest on recommendation approaches that assist with modelling tasks and model-based development processes. In this paper, we report on a systematic mapping review (based on the analysis of 66 papers) that classifies the existing research work on recommender systems for model-driven engineering (MDE). This study aims to serve as a guide for tool builders and researchers in understanding the MDE tasks that might be subject to recommendations, the applicable recommendation techniques and evaluation methods, and the open challenges and opportunities in this field of research.

scholarly journals Gravity Effects on Information Filtering and Network Evolving

PLoS ONE ◽  
2014 ◽  
Vol 9 (3) ◽  
pp. e91070 ◽  
Author(s):  
Jin-Hu Liu ◽  
Zi-Ke Zhang ◽  
Lingjiao Chen ◽  
Chuang Liu ◽  
Chengcheng Yang ◽  
...  
Keyword(s):  
Information Filtering ◽  
Gravity Effects

Network Security Isolation System Based on Information Filtering

2014 ◽  
Vol 707 ◽  
pp. 458-461 ◽  
Author(s):  
Dong Ming Zhao ◽  
Kai Feng Zhu
Keyword(s):  
Network Security ◽  
Human Life ◽  
Information Filtering ◽  
Internet Technology ◽  
Isolation System ◽  
Core Technology ◽  
Internal Network ◽  
Security Problem ◽  
New Business ◽  
Fierce Competition

Internet technology as the cutting-edge of the current information technology, it has penetrated into every aspect of human life, more and more government agencies, enterprises are using Internet to improve their office efficiency and to establish new business operation model, in order to improve its reaction ability in fierce competition. Internet has brought convenience for people to work, while the security problem of network also will follow. The internal network not only needs to ensure the security of their data, but also needs to exchange data with the external network, then by adopting network security isolation system which takes gatekeeper technology as its core technology, so that we can ensure that internal network and external network will have physical isolation at any time, meanwhile, according to business needs, it also has multiple forms of information and data’s exchanges.

scholarly journals Application of Filtration System in the Network Security

2012 ◽  
Vol 4 ◽  
pp. 38-42
Author(s):  
Jin Liang Bian
Keyword(s):  
Network Security ◽  
Information Filtering ◽  
System Structure ◽  
Estimation Methods ◽  
The Internet ◽  
Key Technology ◽  
Network Information ◽  
Filtration System

With the Internet spread and deepening of the application, the development of enterprises Internet and e-commerce business has become an inevitable trend. Network security has drawn more and more attention. Therefore, it is necessary to monitor network information real-timely by using an effective information filtering systems in the network security. So the paper discussed the system structure, the estimation methods and key technology of the Network Information Filtering System in the general and in detail.

Finite Time Decentralized Cubature Information Filtering with Directed Graph

2020 ◽  
Author(s):  
Yuan Liang ◽  
Tinghui Xin ◽  
Sibo Hu ◽  
Xiwang Dong ◽  
Qingdong Li ◽  
...  
Keyword(s):  
Directed Graph ◽  
Finite Time ◽  
Information Filtering

Ensuring Safety of Industrial Cargo by Rail Transportation at the Mining Enterprises

2021 ◽  
pp. 56-62
Author(s):  
V.V. Kupriyanov ◽  
◽  
I.S. Bondarenko ◽  
Keyword(s):  
Information Filtering ◽  
Mining Industry ◽  
Organizational Factors ◽  
Rail Transportation ◽  
Railway Transport ◽  
Control Factors ◽  
Detailed Assessment ◽  
Personnel Safety

The common problem was studied concerning the personnel safety and the operation of railway transport during industrial cargo transportation. Statistical and technical analysis were conducted related to the conditions and reasons of railway accidents caused by various hazardous factors and occurred over the past 15 years in the mining industry of Russia. The study based on natural, technical, and organizational factors showed that there is a steady tendency towards the preservation of the number of accidents such as train collisions, fires, and derailments. Despite the measures taken, such accidents do occur resulting in fatal accidents. The situation is explained by the fact that safety of rail transport is conditioned by the factors that can be divided into difficult-to-control and complex (coordinated by action). The differences between complex factors caused by the railway technology and difficult-to-control factors, which include natural factors or their combination with the stimulated factors are studied in the article. Study of the evidence including the details of the development of fires and derailments of trains from the rails, the consequences of such accidents and conclusions about their causes shows that the additional calculations and classification of the difficult-to-control factors in combination with other causes allow to give a more detailed assessment of the nature of difficult-to-control factors and the interrelationship between them. Through this it becomes possible to detect the maximum number of violations. It is concluded that improving railway safety is possible only with a differentiated approach to the role of each group of factors including difficult-to-control factors, and the ability of personnel to influence the occurrence and development of accidents. The time characteristics of railway accidents are considered. The idea of automated information filtering of clogged messages in the analysis of accidents is formulated.

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