scholarly journals Efficient Data-specific Model Search for Collaborative Filtering

Author(s):  
Chen Gao ◽  
Quanming Yao ◽  
Depeng Jin ◽  
Yong Li
2009 ◽  
Vol 25 (1) ◽  
pp. 1-7 ◽  
Author(s):  
Jörg-Tobias Kuhn ◽  
Heinz Holling

The present study explores the factorial structure and the degree of measurement invariance of 12 divergent thinking tests. In a large sample of German students (N = 1328), a three-factor model representing verbal, figural, and numerical divergent thinking was supported. Multigroup confirmatory factor analyses revealed that partial strong measurement invariance was tenable across gender and age groups as well as school forms. Latent mean comparisons resulted in significantly higher divergent thinking skills for females and students in schools with higher mean IQ. Older students exhibited higher latent means on the verbal and figural factor, but not on the numerical factor. These results suggest that a domain-specific model of divergent thinking may be assumed, although further research is needed to elucidate the sources that negatively affect measurement invariance.


2004 ◽  
pp. 66-90 ◽  
Author(s):  
R. Kapelyushnikov

The paper examines a specific model of wage-setting evolved in Russia under transition. Using new survey data author reveals paradoxical characteristics of wage-setting mechanisms at Russian industrial enterprises: very high union and collective agreement coverage; nearly unilateral control of managers over wage determination; close correlation between earnings and enterprises' performance; voluntary utilization of wage standards established by the state. The special section explores effects of fulfilling a new provision stipulated for by the recently adopted Labor Code to raise minimum wage to the subsistence minimum level. The author concludes that wage-setting in the Russian labor market is at odds with a textbook competitive model and poorly fits into many other sophisticated theoretical schemes (such as labor-managed firms, bargaining models etc.).


2017 ◽  
Vol 1 (2) ◽  
pp. 200-210
Author(s):  
Rivdya Eliza ◽  
Fitri Aulia

The purpose of this research are: 1) to know the learning activity of learners mathematics which is taught by Search, Solve, Create, and Share (SSCS), and 2) model to know the ability of problem solving of mathematics learners who taught by SSCS learning model in the class XI MIA MAN 1 Muara Labuh academic year 2016/2017. This research belongs to a kind of quasi-experimental research with randomized control group only design. In this study design, a group of subjects taken from a particular population were randomly assigned into two groups, the experimental group and the control group. After analyzing the data, it is known that the learning activity of the students after applying the SSCS learning model has improved towards the better from the first meeting to the fifth meeting, ie 35%, 45%, 55%, 68%, 77%. Based on the hypothesis test obtained ttable = 1.645 and tcount = 2.598 so obtained (2.598> 1.645) at 95% confidence interval. Because tcount > ttable then hypothesis in this research accepted. Thus, students 'math-problem-solving skills taught by SSCS learning models are higher than the students' uneducated mathematical problem-solving skills with SSCS learning modelsKeywords: Problem solving abilities, search, solve, sreate and share (SSCS) learning models


Author(s):  
P.Venu Gopala Rao ◽  
Eslavath Raja ◽  
Ramakrishna Gandi ◽  
G. Ravi Kumar

IoT (Internet of Things) has become most significant area of research to design an efficient data enabled services with the help of sensors. In this paper, a low-cost system design for e-healthcare service to process the sensitive health data is presented. Vital signs of the human body are measured from the patient location and shared with a registered medical professional for consultation. Temperature and heart rate are the major signals obtained from a patient for the initial build of the system. Data is sent to a cloud server where processing and analysis is provided for the medical professional to analyze. Secure transmission and dissemination of data through the cloud server is provided with an authentication system and the patient could be able to track his data through a smart phone on connecting to the cloud server. A prototype of the system along with its design parameters has been discussed.


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