A personalized network-based recommendation approach via distinguishing user’s preference

2019 ◽  
Vol 33 (06) ◽  
pp. 1950029 ◽  
Author(s):  
Wei Wu ◽  
Ruoxi Zhang ◽  
Lianggui Liu

With the rapid growth of commerce and development of Internet technology, a large number of user consumption preferences become available for online market intelligence analysis. A critical demand is to reduce the impact of information overload by using recommendation algorithms. In physical dynamics, network-based recommendation algorithms based on mass-diffusion have been popular for its simplicity and efficiency. In this paper, to solve the problem that most network-based recommendation algorithms cannot distinguish how much the user likes collected items and make resource configuration more reasonable, we propose a novel method called biased network-based inference (BNBI). The proposed method treats rating systems and nonrating systems differently and measures user’s preference for items by means of item similarity. The proposed method is evaluated in real datasets (MovieLens and Last.FM) and compared with some existing classic recommendation algorithms. Experimental results show that the proposed method is more effective and it can reduce the impact of item diversity and discover the real interest of users.

Author(s):  
Lei Zhou ◽  
Xiaohua Cui ◽  
An Zeng ◽  
Ying Fan ◽  
Zengru Di

Network diffusion processes play an important role in solving the information overload problem. It has been shown that the diffusion-based recommendation methods have the advantage to generate both accurate and diverse recommendation items for online users. Despite that, numerous existing works consider the rating information as link weight or threshold to retain the useful links, few studies use the rating information to evaluate the recommendation results. In this paper, we measure the average rating of the recommended products, finding that diffusion-based recommendation methods have the risk of recommending low-rated products to users. In addition, we use the rating information to improve the network-based recommendation algorithms. The idea is to aggregate the diffusion results on multiple user-item bipartite networks each of which contains only links of certain ratings. By tuning the parameters, we find that the new method can sacrifice slightly the recommendation accuracy for improving the average rating of the recommended products.


2021 ◽  
Vol 33 (1) ◽  
pp. 193-208
Author(s):  
Brigitte Le Normand

To understand the distinctiveness of ports under state socialism, it is necessary to shift the focus from the built environment to flows of people, goods, knowledge and capital. In so doing, this article examines the operation of Yugoslavia's main shipping line, Jugolinija, from its inception in 1947 until 1960. This enterprise was based in the port of Rijeka, with both firm and port experiencing rapid growth during this period. The impact of state socialism can be seen in the primacy of the political over the profitability of the firm, with Jugolinija used to advance Yugoslavia's foreign trade and foreign policy, its interests being subordinated to the project of building self-managed socialism. It can also be seen in the unique challenges posed by having to operate at the intersection of the global market and a highly regulated economy – a situation that also created opportunities for the firm as a whole, as well as for its employees, who had access to foreign currency, travel and knowledge of the world. Jugolinija's privileged access to the world in what was still very much a closed society also created opportunities for ‘leaks’ of personnel and goods. Finally, socialist ideology left its imprint on Jugolinija's operations and shaped the ways in which its employees understood their work and the place of the firm within the Yugoslav economy. While it is tempting to see state socialism as ‘getting in the way’ of Jugolinija's business, in actuality the firm was remarkably successful both at operating within the Yugoslav socialist state framework, and capitalizing on the opportunities provided by access to the global market. Jugolinija's employees, in turn, profited from the mobility that came with working for the firm, sometimes at the expense of the enterprise and the state.


2021 ◽  
Author(s):  
Carsten Vogt

AbstractThe uptake of the QbTest in clinical practice is increasing and has recently been supported by research evidence proposing its effectiveness in relation to clinical decision-making. However, the exact underlying process leading to this clinical benefit is currently not well established and requires further clarification. For the clinician, certain challenges arise when adding the QbTest as a novel method to standard clinical practice, such as having the skills required to interpret neuropsychological test information and assess for diagnostically relevant neurocognitive domains that are related to attention-deficit hyperactivity disorder (ADHD), or how neurocognitive domains express themselves within the behavioral classifications of ADHD and how the quantitative measurement of activity in a laboratory setting compares with real-life (ecological validity) situations as well as the impact of comorbidity on test results. This article aims to address these clinical conundrums in aid of developing a consistent approach and future guidelines in clinical practice.


2013 ◽  
Vol 380-384 ◽  
pp. 2104-2108
Author(s):  
Chen Liang Li ◽  
Ming Xia Zhu

With the development of computer information science and technology, Internet has a large number of network propaganda and public opinion page every day. Through the network micro message and the micro-blog forwarding, network propaganda and public opinion have the impact on the development and stability of colleges, so the study network propaganda and public opinion has important significance for the development of colleges. Under this background, based on the computer Internet technology, the Internet erection of network propaganda guidance mode are analyzed, and compared with the fuzzy minimum production tree theory and the C language software, the network construction is verified. Finally the iterative process of finding the network transmission is relatively stable, after 800 iterative steps, numerical is slowly increasing, in which the maximum value is about 0.0001. The seven school propaganda is been as the minimum spanning of tree main network, its sum of weighted has been up to 1606.


2018 ◽  
Vol 7 (3.12) ◽  
pp. 272
Author(s):  
Gayathri R ◽  
Murali. G ◽  
Parthiban Kathirvel ◽  
Haridharan M.K ◽  
Karthikeyan. K

Impact strength data is a noteworthy factor for designing airport pavements, civilian and military structures etc and it is ought to be modelled precisely. In order to achieve an appropriate modelling data, it is important to select a suitable estimation method. One such commonly used statistical tool is the two parameter Weibull distribution for modelling impact failure strength accurately besides the variations in test results. This study statistically commandsthe variations in the impact failure strength (number of blows to induce failure) of fibre reinforced concrete (FRC) subjected to drop hammer test. Subsequently, a four-different novel method for the computation of Weibull parameter (Shape parameter) based on the earlier researchers test results has been proposed. The accuracy of the proposed four novel method is demonstrated by comparing with power density method and verified with goodness of fit test. Finally, the impact failure strength of FRC is offered in terms of reliability. The proposed four NEPFM is very suitable and efficient to compute the shape parameter in impact failure strength applications. 


2018 ◽  
Vol 141 (5) ◽  
Author(s):  
Yeshaswini Emmi ◽  
Andreas Fiolitakis ◽  
Manfred Aigner ◽  
Franklin Genin ◽  
Khawar Syed

A new model approach is presented in this work for including convective wall heat losses in the direct quadrature method of moments (DQMoM) approach, which is used here to solve the transport equation of the one-point, one-time joint thermochemical probability density function (PDF). This is of particular interest in the context of designing industrial combustors, where wall heat losses play a crucial role. In the present work, the novel method is derived for the first time and validated against experimental data for the thermal entrance region of a pipe. The impact of varying model-specific boundary conditions is analyzed. It is then used to simulate the turbulent reacting flow of a confined methane jet flame. The simulations are carried out using the DLR in-house computational fluid dynamics code THETA. It is found that the DQMoM approach presented here agrees well with the experimental data and ratifies the use of the new convective wall heat losses model.


PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0247549
Author(s):  
Yukun Wang ◽  
Chunling Li ◽  
Muhammad Asif Khan ◽  
Nian Li ◽  
Runsen Yuan

Guided by the conviction that “Clear waters and green mountains are as good as mountains of gold and silver”, China highly values sustainable economic and social development through innovation and Internet technology. Regression analysis is performed to examine the impact of corporate information disclosure environment proxied by the Internet penetration rate on innovation. Leveraging from the city-level Internet penetration rates data in China from 2003 to 2017, this study gets the following findings: (1) Firms headquartered in cities with high Internet penetration rates tend to be more innovative, i.e. they invest more in research and development. (2) This result is supported by several robustness checks, such as alternative measures of key variables, alternative empirical specifications, and tests to mitigate identification concerns. (3) "financing constraint" and "tolerance of innovation failure" are two channels that influence firms’ innovative endeavors. (4) Additional tests show that Internet penetration rates facilitate a firm’s output efficiency of innovation input, total factor productivity, and human capital environment for innovation. The above conclusions not only enrich the relevant literature on the influencing factors of corporate innovation from the perspective of the firm information disclosure environment but also provide an important reference for further understanding the positive role of macro technology development on social and economic development.


2019 ◽  
Author(s):  
Ronnie Goodwin

This qualitative short report considers the viability of the use of rubrics or alternative methods to assess writing in Asia and the Middle East. The background of learning theories, assessment types, and self-assessment literature provides a foundation for further discussion of the appropriate use of rubrics, including the prioritization of criterion, the quality of scoring, the impact of organizational features on scoring, the influence of bias, and the best application of rubric assessment. Relevant points for further study are identified, such as differentiation in research between generalized analytical rating systems and rubric assessment with specific, empirical criterion. The contradictory research regarding the advantages and disadvantages of rubric assessment in comparison with holistic assessment are of particular and crucial interest for global pedagogy. Many of the reviewed Western articles excluded Asian perspectives- except for China- and thus present a limited understanding of social and educational compatibility with new assessments and rubric assessments in particular. The discussion identifies patterns and points of contention and seeks to explore viewpoints rather than limit the scope of inquiry and consideration thus noting that relevant literature suggests that with appropriate teacher training, teachers may appropriately use rubrics as a formative assessment tool for writing in Asia and the Middle East.


2021 ◽  
Author(s):  
Jorden J. S. Lefler

This thesis discusses a method of analysing the input of interventions in a building's site design, all of which affect the heat island effect, bio-diversity and hydrology of urban areas. Existing standards from Toronto, Vancouver and Berlin have been researched and analysed. This paper presents an evolution of a method called biotope area factor used in Berlin, Germany. A synthesis of the approach of all three systems was considered and distilled into the key points which were then incorporated into the proposed method. In addition to the impact of an individual building, it also includes the impact from the adjacent street area. The final components of this thesis are the application of the method developed to an urban area in the city of Toronto and results showing the impacts on architectural design from site rating systems.


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