Application Domain and Functional Classification of Recommender Systems—A Survey

2008 ◽  
Vol 28 (3) ◽  
pp. 17-35 ◽  
Author(s):  
K. Nageswara Rao
2019 ◽  
Vol 16 (10) ◽  
pp. 4280-4285
Author(s):  
Babaljeet Kaur ◽  
Richa Sharma ◽  
Shalli Rani ◽  
Deepali Gupta

Recommender systems were introduced in mid-1990 for assisting the users to choose a correct product from innumerable choices available. The basic concept of a recommender system is to advise a new item or product to the users instead of the manual search, because when user wants to buy a new item, he is confused about which item will suit him better and meet the intended requirements. From google news to netflix and from Instagram to LinkedIn, recommender systems have spread their roots in almost every application domain possible. Now a days, lots of recommender system are available for every field. In this paper, overview of recommender system, recommender approaches, application areas and the challenges of recommender system, is given. Further, we study conduct an experiment on online shoppers’ intention to predict the behavior of shoppers using Machine learning algorithms. Based on the results, it is observed that Random forest algorithm performs the best with 93% ROC value.


Physiotherapy ◽  
2013 ◽  
Vol 21 (3) ◽  
Author(s):  
Natalia Uścinowicz ◽  
Wojciech Seidel ◽  
Paweł Zostawa ◽  
Sebastian Klich

AbstractThe recent Olympic Games in London incited much interest in the competition of disabled athletes. Various people connected with swimming, including coaches and athletes, have speculated about the fairness of competitions of disabled athletes. A constant problem are the subjective methods of classification in disabled sport. Originally, athletes with disabilities were classified according to medical diagnosis. Due to the injustice which still affects the competitors, functional classification was created shortly after. In the present review, the authors show the anomalies in the structure of the classification. The presented discovery led to the suggestion to introduce objective methods, thanks to which it would be no longer necessary to rely on the subjective assessment of the classifier. According to the authors, while using objective methods does not completely rule out the possibility of fraud by disabled athletes in the classification process, it would certainly reduce their incidence. Some of the objective methods useful for the classification of disabled athletes are: posturography, evaluation of the muscle parameters, electrogoniometric assessment, surface electromyography, and analysis of kinematic parameters. These methods have provide objective evaluation in the diagnostic sense but only if they are used in tandem. The authors demonstrate the undeniable benefits of using objective methods. Unfortunately, there are not only advantages of such solution, there also several drawbacks to be found. The conclusion of the article is the statement by the authors that it is right to use objective methods which allow to further the most important rule in sport: fair-play.


2020 ◽  
Vol 73 (3) ◽  
pp. 358-367
Author(s):  
Júlio Cezar Rebés Azambuja Filho ◽  
Paulo Cesar de Faccio Carvalho ◽  
Olivier Jean François Bonnet ◽  
Denis Bastianelli ◽  
Magali Jouven

2000 ◽  
Vol 302 (1) ◽  
pp. 189-203 ◽  
Author(s):  
John R Cort ◽  
Adelinda Yee ◽  
Aled M Edwards ◽  
Cheryl H Arrowsmith ◽  
Michael A Kennedy

Author(s):  
Jan Willem Gorter ◽  
Peter L Rosenbaum ◽  
Steven E Hanna ◽  
Robert J Palisano ◽  
Doreen J Bartlett ◽  
...  

2018 ◽  
Vol 33 (3) ◽  
pp. 3784-3794 ◽  
Author(s):  
Qian Shi ◽  
Fei Zhuang ◽  
Ji-Ting Liu ◽  
Na Li ◽  
Yuan-Xiu Chen ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document