نتایج جستجو برای: course recommender model

تعداد نتایج: 2328693  

Keramati , Abbas , Khatibi , Vahid , Mosayebian , Shahab ,

  The intensive competition in e-Commerce causes effective methods for customer attraction of special importance. In this regard, the recommender systems in commercial websites can precisely determine customers' interests and needs, and offer them most suitable products and services. In this paper, a new model for recommender systems is proposed which segments the market and customers more effi...

2013
Umut Şimşekli Tolga Birdal Emre Koç Ali Taylan Cemgil

Along with the growth of the Internet, automatic recommender systems have become popular. Due to being intuitive and useful, factorization based models, including the Nonnegative Matrix Factorization (NMF) model, are one of the most common approachs for building recommender systems. In this study, we focus on how a recommender system can be built for online services and how the parameters of an...

2005
Azene Zenebe Anthony F. Norcio

It is apparent that m-commerce and e-commerce have various similarities from operational and services perspectives. However, at the same time, m-commerce has its own a unique technology driven business opportunities with its own unique characteristics, functions, opportunities and challenges. One successful application in e-commerce is personalized recommendations services as results of recomme...

Journal: :مهندسی صنایع 0
عباس کرامتی دانشیار دانشکدة مهندسی صنایع پردیس دانشکده های فنی دانشگاه تهران روشنک خالقی کارشناس ارشد مهندسی صنایع پردیس دانشکده های فنی دانشگاه تهرانن

the rapid growth of world wide web has affected the nature of interactions between customers and companies enormously. one significant consequence of this phenomenon is definitely the emergence and development of e-commerce websites and online stores all over the web. in spite of its great benefits, online shopping could turn into a complicated procedure from the customer point of view. in most...

2007
E. García C. Romero S. Ventura C. de Castro

Nowadays, the application of data mining techniques in e-learning and web based adaptive educational system is increasing exponentially. The discovered useful information can be used directly by the teacher or the author of the course to improve the instructional/learning performance. This can be an arduous task and therefore educational recommender systems are used in order to help the teacher...

Journal: :IEEE-RITA 2008
Enrique García Salcines Cristóbal Romero Sebastián Ventura Carlos de-Castro-Lozano

—Nowadays, the application of data mining techniques in e-learning and web based adaptive educational systems is increasing exponentially. The discovered useful information can be used directly by the teacher or the author of the course to improve the instructional/learning performance. This can be an arduous task and therefore educational recommender systems are used in order to help the teach...

2016
Kate Mori Lucy Ractliffe

This paper evaluates the effectiveness of a massive open online course (MOOC) as a professional development tool in higher education. The transition from the MOOCs initial intended use as a low cost way for students to access education and aid their studies has evolved, from facilitating the Higher Education sector to the commercial sector. Findings indicate there is an increase in participatio...

Journal: :global analysis and discrete mathematics 0
zahra khorsand islamic azad university, damghan branch, damghan, iran reza mortazavi school of engineering, damghan university, damghan, iran

with the rapid expansion of the information on the internet, recommender systems play an important role in terms of trade and research. recommender systems try to guess the user's way of thinking, using the in-formation of user's behavior or similar users and their views, to discover and then propose a product which is the most appropriate and closest product of user's interest. ...

With the rapid expansion of the information on the Internet, recommender systems play an important role in terms of trade and research. Recommender systems try to guess the user's way of thinking, using the in-formation of user's behavior or similar users and their views, to discover and then propose a product which is the most appropriate and closest product of user's interest. In the past dec...

2016
ORIOL BORRAS-GENE MARGARITA MARTINEZ-NUÑEZ

The phenomenon ofMOOC (Massive OnlineOpenCourses) is increasingly experienced and is giving rise to new scenarios and challenges with several features that are different from previous approaches to online education. In the field of engineering education, Information and Communication Technologies are making continuous innovation in methods of teaching and learning for students. Engineering Educ...

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